USA flag logo/image

An Official Website of the United States Government

Automated Scene Understanding

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
O2-1225
Solicitation Year:
2010
Solicitation Topic Code:
OSD10-L04
Solicitation Number:
2010.2
Small Business Information
ObjectVideo
11600 Sunrise Valley Drive Suite # 210 Reston, VA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2012
Title: Automated Scene Understanding
Agency: DOD
Contract: N00014-12-C-0263
Award Amount: $739,954.00
 

Abstract:

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 recognition in network information environment, where lack of effective visual processing tools and incomplete domain knowledge frequently cause uncertainty in the datasets and consequently, in the visual primitives extracted from it. We employ Markov Logic Network (MLN) to address the task of reasoning under uncertainty. In Phase I, we demonstrated use of MLN as a domain knowledge representation language that can be used for inferring complex events in real world. In Phase II, our emphasis will be on developing algorithms to fuse data from multiple sources, perform reasoning in the presence of incomplete data, and transfer learning for domain adaptation. At the visual processing level, transfer learning will enable zero-shot recognition of unknown classes. At the decision level, transfer learning is applied to MLN to automatically infer rules for related but unseen domains. Technical claims made during the study will be justified using rigorous testing and comparison with other state-of-the-art methods on publically available datasets.

Principal Investigator:

Atul Kanaujia
Principal Investigator
(703) 654-9300
akanaujia@objectvideo.com

Business Contact:

Paul Brewer
VP, New Technology
(703) 725-3084
pbrewer@objectvideo.com
Small Business Information at Submission:

ObjectVideo
11600 Sunrise Valley Drive Suite # 290 Reston, VA -

EIN/Tax ID: 541969286
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No