ObjectVideo

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 ...

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 pr ...

Automatic visual content extraction and scene understanding is an enabling technology for video surveillance, situational awareness, and force protection applications. High-level scene comprehension r ...

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 ...

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 l ...

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 challeng ...

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 ...

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 targe ...

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 ...

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 app ...