"In order to prevent, deter, and analyze suspicious behavior by individuals in public spaces, this project will develop a commercially viable system for tracking people in various environments using a single camera, or multiple cameras with overlappingfields of view. Single camera tracking of… More

"Military command posts of the future are increasingly likely to be located in or near densely populated urban environments. Due to occluding building and trees, these environments make it impossible for a single sensor to monitor potentially threateningevents over an extended period of time. … More

"Military command posts of the future are increasingly likely to be located in or near densely populated urban environments. Due to occluding building and trees, these environments make it impossible for a single sensor to monitor potentially threateningevents over an extended period of time. … More

"ObjectVideo will assess the feasibility of developing an omni-directional situational awareness system for mast-mounted in-port video surveillance. An initial system design will be developed and an estimate of system performance will be assessed as afunction of sensor resolution, threat size,… More

ObjectVideo and Prof. Jianbo Shi from the University of Pennsylvania propose an automated activity recognition system for video surveillance at night. The deliverable is software that performs real-time threat analysis on incoming video streams and alertssecurity personnel of impending danger. The… More

ObjectVideo currently markets a commercial automated video surveillance product that detects and tracks targets in video streams. The product allows a user to specify simple events of interest via an intuitive graphical user interface. ObjectVideo proposesbasic research with the goal of enhancing… More

BENEFITS: 1) High-end custom installations for high valued assets such as military installations, factories, potential terrorist targets, etc;2) Medium security monitoring, typified by many business customers; and3) Inexpensive systems for consumers wishing to monitor their homes, other property, or… More

BENEFITS: 1) High-end custom installations for high valued assets such as military installations, factories, potential terrorist targets, etc;2) Medium security monitoring, typified by many business customers; and3) Inexpensive systems for consumers wishing to monitor their homes, other property, or… More

ObjectVideo and Prof. Jianbo Shi from the University of Pennsylvania are pleased to submit this Phase II proposal for DARPAs Surveillance at Night Small Business Technology Transfer (STTR) program, involving the creation of techniques and technologies intended to solve problems experienced by… More

This Small Business Innovation Research (SBIR) Phase I research project proposes the unsupervised extraction of contextual information from dedicated video surveillance cameras by providing a mechanism to manually inject pieces of semantic, using semantic knowledge as seed information to learn… More

ObjectVideo proposes a video system to identify faces on non-cooperative subjects at a far distance. The system will be deployed hidden in hostile terrain to monitor people who travel through the camera's view, and it will report back to a central station only if it sees a known fugitive. The… More

ObjectVideo (OV) proposes the development of tools and architecture for automatic forensic analysis and retrieval of video data. This effort enables accurate mining of surveillance video data based on target analysis and complex activity recognition. The video analytics solution proposed by… More

Over the last few decades, progress toward automatic video understanding was almost exclusively due to improvements in bottom-up image and video analysis. As was the case with the initial top-down approaches, pure bottom-up approaches have run into fundamental limits. This proposal expands on recent… More

This Small Business Innovation Research Phase I project will demonstrate the feasibility and effectiveness of utilizing scene and geometric context to improve target detection in aerial videos. The key innovation in this effort is a unified framework to place localized target detection in the… More

The Phase I of the Small Business Innovation Research (SBIR) program culminated in the development of an Intelligent Video Retrieval System (IVRS) with the capabilities of automated target detection and tracking, target geo-referencing, target categorization by example, and multi-target interaction… More

ObjectVideo and University of Southern California propose to develop innovative algorithms and demonstrate a framework for robust and efficient visual tracking using Adaboost-based target detection methods, kernel-based tracker, and robust method for multi-frame data-association. The key issues of… More

This Small Business Technology Transfer Phase I project will investigate the feasibility and effectiveness of fusing image analysis with Global Position System (GPS) and Inertial Measurement Unit (IMU) information to eliminate motion blur from hi-resolution wide area videos. The key innovations in… More

ObjectVideo and University of Southern California propose to develop innovative algorithms for robust and efficient visual tracking. The key issues of multiple target tracking are: variations in target shape and appearance due to camera viewpoint and illumination condition, non-linear target motion,… More

Automatic visual content extraction and scene understanding is a critical enabling technology for video surveillance, security and forensic analysis applications. The task involves identifying objects in the scene, describing their inter-relations, and detecting events of interests. The project… More

Automatic visual content extraction and scene understanding is an enabling technology for video surveillance, situational awareness, and force protection applications. High-level scene comprehension requires a deep understanding of objects, scene elements and their inter-relations. Current systems… More

This SBIR Phase II project will develop an integrated system that will extract scene and geometric context from aerial videos and utilize it for robust target detection and false alarm mitigation. The key innovation in this effort is to place localized target detection in the context of the overall… More

This SBIR Phase I project will demonstrate the feasibility and effectiveness of novel statistical models and deferred inference based techniques for robust detection and tracking of small targets in low spatial-resolution and frame-rate aerial videos. The key innovations in this effort include i)… More

3D human pose and shape analysis from video imagery is an enabling technology for human activity recognition and threat monitoring in military and law enforcement applications. The problem is challenging due to (i) the high dimensionality in human pose space; (ii) lack of depth information in… More

Images with associated text are now available in vast quantities, and provide a rich resource for mining for the relationship between visual information and semantics encoded in language. In particular, the quantity of such data means that sophisticated machine learning approaches can be applied to… More

This Small Business Technology Transfer (STTR) Phase-I project will constitute design of algorithms, toolsets, and interfaces to detect and visualize complex events from video and communications data. Our proposed system would be based on a Service Oriented Architecture (SOA) which will allow users… More

This Small Business Technology Transfer Phase-II project will design, develop and integrate an effective and efficient motion blur elimination algorithm to Autonomous Real-time Ground Ubiquitous Surveillance - Imaging System (ARGUS-IS) system by optimizing and implementing the algorithm proposed… More

This Small Business Innovation Research (SBIR) Phase I project will constitute design of algorithms, toolsets and interfaces to detect human activity from video and improve operator's wide area situational awareness of live feeds from multiple aerial and ground sensors in the battlefield. The key… More

This project aims to develop algorithms and software tools for automated inference of human shape and pose, for anomalous shape and hostile actions identification. The problem is challenging owing to large variation in human body shapes, inaccurate 3D data acquisition techniques, non-observability… More

Automatic extraction and representation of visual concepts and semantic information in scene is a desired capability in any security and surveillance operations. In the proposed effort we seek to advance the foundations of representation and fusion of data, information and knowledge gathered from… More

This Small Business Innovation Research Phase I project will develop a system to overlay geo-referenced informational data on UAV video in real-time. The proposed system will provide enhanced situational awareness and decision making capabilities to remote users by accurately overlaying the… More

This SBIR Phase II project will develop an advanced dismount activity analysis system that will utilize novel statistical models and non-causal techniques for robust dismount detection and tracking in low spatial resolution and frame-rate aerial videos. The key innovation in this effort is an… More

3D human behavior and shape analysis from monocular video imagery is an enabling technology for recognizing abnormal behavior and threat monitoring in military and law enforcement applications. The problem is challenging owing to (i) complexity of surveillance environment, (ii) high dimensionality… More

OV proposes a mobile device which can help the warfighter search through large volumes of available ISR data and provide alerts to changing battlefield conditions in spite of the bandwidth and attention challenges of field operation. The device will use a state-of-the-art smart platform (Intel Atom… More

This Small Business Innovation Research Phase I project will design a flexible and scalable system capable of ingesting data from disparate media sources, application of complex workflow and mediation processes, and serving of transcoded media to multiple subscribers. The proposed system will… More

ABSTRACT: ObjectVideo proposes a three tiered system for analyzing activities in WAMI MTI data. The proposed system captures distinct notions of behavior, from event frequency to activity sequences and specific site inference, with independent subsystems. Each level implements an appropriate… More

The Phase I effort of the SBIR program culminated in the development of algorithms, toolsets and interfaces to detect human activity from video and improve the operator"s wide area situational awareness of live feeds from multiple video sensors in the battlefield. In Phase II, we plan to extend… More

ObjectVideo, Inc. proposes to develop video inference algorithms and a modular architecture for scene understanding based on the computational framework of Spatio-temporal And-Or Graph (ST-AoG). Various image inference modules can be integrated to the framework through an API for scene… More

ABSTRACT: We propose a robust solution for estimating 3D shapes of human targets from multiple, synchronized input video streams. The goal of the project is to apply 3D pose and shape of human targets for automated inference of different attributes that would enable detection of anomalous behavior.… More

In this SBIR proposal, ObjectVideo proposes an automated video content analysis system that ingests video and sensor data from a multitude of video sensors and produces meta information representing their contents in the form of modified DoD Discovery Metadata Specification (DDMS) cards. The human… More

ABSTRACT: This Small Business Innovation Research Phase I project will demonstrate the feasibility and effectiveness of novel nonlinear filtering and joint decision and estimation methods for robust and persistent tracking of multiple targets with nonlinearities in measurement and dynamic model.… More

ABSTRACT: This Small Business Innovation Research Phase I project develops simultaneous localization and mapping (SLAM)-based innovative methods for geo-registration and demonstrates the feasibility and effectiveness of the methods for accurate geo-registration of wide area motion imagery (WAMI).… More

ABSTRACT: This Small Business Innovation Research Phase I project develops innovative methods for target handoff from WAMI to SUAV sensors in the presence of geo-registration errors and target ambiguities. The tiered computational framework provides increasing accuracy as a function of available… More

ObjectVideo and Brown University propose a heterogeneous FPGA and programmable multi-core DSP solution to perform full-frame target tracking and event detection on motion imagery from Wide Area Aerial Sensors. The OV team will leverage its experience in WAAS video processing and low-power hardware… More

OV designed and implemented a system for ISR knowledge discovery, including a mobile application for Android smartphones which aids the dismounted warfighter in collecting and exploiting ISR data in the field. During Phase I, the team prototyped a multifunction mobile device to be carried by the… More

Automatic extraction and representation of visual concepts and semantic information in scenes is a desired capability in surveillance operations. In this effort we will advance the foundations of data representation and fusion at various levels of abstraction. We target the problem of complex event… More

This Small Business Innovation Research Phase II project will develop a scalable system capable of ingesting data from disparate media sources, application of custom workflow and mediation processes, and serving media to multiple, concurrent subscribers. The proposed system will feature a plug-in… More

ObjectVideo, teaming with Professor Frank Dellaert, proposes a real-time system to simultaneously map 3D environments and localize moving agents (including soldiers, vehicles, and robotic platforms) within the acquired map. The technology builds upon Professor Dellaerts decade of experience in… More