JOURNAL ARTICLE

Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes

Abstract

This work presents a real-time system for multiple objects tracking in dynamic scenes. A unique characteristic of the system is its ability to cope with long-duration and complete occlusion without a prior knowledge about the shape or motion of objects. The system produces good segment and tracking results at a frame rate of 15-20 fps for image size of 320 /spl times/ 240, as demonstrated by extensive experiments performed using video sequences under different conditions indoor and outdoor with long-duration and complete occlusions in changing background.

Keywords:
Computer vision Artificial intelligence Computer science Tracking (education) Occlusion Frame (networking) Frame rate Video tracking Duration (music) Tracking system Motion (physics) Computer graphics (images) Video processing Kalman filter

Metrics

206
Cited By
14.72
FWCI (Field Weighted Citation Impact)
32
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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