Detecting Multiple Moving Objects in Crowded Environments with Coherent Motion Regions

Conference · Sun Jun 01 04:00:00 EDT 2008

DOI:https://doi.org/10.1109/CVPRW.2008.4562983· OSTI ID:964316

Cheriyadat, Anil M. ^[1]; Bhaduri, Budhu ^[1]

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1. ORNL

We propose an object detection system that uses the locationsof tracked low-level feature points as input, and producesa set of independent coherent motion regions as output.As an object moves, tracked feature points on it spana coherent 3D region in the space-time volume defined bythe video. In the case of multi-object motion, many possiblecoherent motion regions can be constructed around theset of all feature point tracks. Our approach is to identifyall possible coherent motion regions, and extract the subsetthat maximizes an overall likelihood function while assigningeach point track to at most one motion region. Wesolve the problem of finding the best set of coherent motionregions with a simple greedy algorithm, and show thatour approach produces semantically correct detections andcounts of similar objects moving through crowded scenes.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 964316
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
ALGORITHMS
Computer Vision
DETECTION
MOTION
POPULATION DENSITY
Tracking