Real-time distributed tracking with non-overlapping cameras

We present a real-time distributed system for tracking with non-overlapping camera views. Each camera performs multi-object tracking, and cameras communicate with each other in a peer-to-peer manner for consistent labeling. To match objects across non-overlapping views, we employ multiple features,...

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Bibliographic Details
Published in2010 IEEE International Conference on Image Processing pp. 697 - 700
Main Authors Youlu Wang, Li He, Velipasalar, S
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2010
Subjects
Cameras
distributed
Histograms
Image color analysis
Image edge detection
multicamera
non-overlapping cameras
Real time systems
real-time
Target tracking
Tracking
Training
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Summary:We present a real-time distributed system for tracking with non-overlapping camera views. Each camera performs multi-object tracking, and cameras communicate with each other in a peer-to-peer manner for consistent labeling. To match objects across non-overlapping views, we employ multiple features, namely color histogram, height, travel time and speed. First, camera configuration and reference values of different features are learned in the training phase. Then, we combine multiple evidences by computing an overall similarity score, which is a weighted sum of the similarity scores of different features. Communication and frame processing run in parallel and share memory. Experimental results show the success of the presented system in real-time tracking with non-overlapping cameras and in handling merge cases.
ISBN:9781424479924
1424479924
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2010.5651101