A camera-based system for tracking people in real time

This paper describes a system for real-time tracking of people in video sequences. The input to the system is live or recorded video data acquired by a stationary camera in an environment where the primary moving objects are people. The output consists of trajectories which give the spatio-temporal...

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Bibliographic Details
Published inProceedings of 13th International Conference on Pattern Recognition Vol. 3; pp. 63 - 67 vol.3
Main Author Segen, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Cameras
Humans
Layout
Monitoring
Real time systems
Statistical analysis
Statistics
Streaming media
Video sequences
Workstations
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Summary:This paper describes a system for real-time tracking of people in video sequences. The input to the system is live or recorded video data acquired by a stationary camera in an environment where the primary moving objects are people. The output consists of trajectories which give the spatio-temporal coordinates of individual persons as they move in the environment. The system uses a new model-based approach to object tracking. It identifies feature points in each video frame, matches feature points across frames to produce feature "paths", then groups short-lived and partially overlapping feature paths into longer living trajectories representing motion of individual persons. The path grouping is based on a novel model-based algorithm for motion clustering. The system runs on an SGI Indy workstation at an average rate of 14 frames a second. The system has numerous applications since various statistics and indicators of human activity can be derived from the motion trajectories. Examples of these indicators described in the paper include people counts, presence and time spent in a region, traffic density maps and directional traffic statistics.
ISBN:9780818672828
081867282X
ISSN:1051-4651
DOI:10.1109/ICPR.1996.546795