Moving Object Tracking from Videos based on Enhanced Space-Time-Range Mean Shift and Motion Consistency
Paper in proceedings, 2007

Video surveillance and object tracking have drawn increased interests in recent years. This paper addresses the problem of moving object tracking from image sequences captured from stationary cameras. Based on our previous work on video segmentation using joint space-time-range mean shift, we extend the scheme to enable the tracking of moving objects. Large displacements of pdf modes in consecutive image frames are exploited for tracking. We also improve the above mean shift-based video segmentation by introducing edge-guided merging of over-segmented regions. This can be viewed as an extension of the enhanced mean shift 2D image segmentation to the enhanced space-time-range mean shift video segmentation. Experiments have been conducted on several indoor and outdoor videos. Our preliminary results and performance evaluation have indicated the effectiveness of the proposed scheme.

video segmentation

motion field

multiple object tracking

joint space-time-range mean shift

Author

Irene Yu-Hua Gu

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Andrew Backhouse

Chalmers, Signals and Systems

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Pengfei Shi

IEEE International Conference on Multimedia & Expo (ICME '07), 2007

Subject Categories

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

More information

Created

10/7/2017