Tracking moving objects in video using enhanced mean shift and region-based motion field
Paper in proceedings, 2007

In this paper, we propose a scheme for moving object tracking from videos by combining mean shift and motion field statistics. For mean shift, we employ an enhanced spatial-range mean shift that enables a reduced number of oversegmentation. For motion statistics, we combine the optical flow and high-order moment to generate motion regions that are associated with moving objects (or object parts). Experiments have been conducted on several indoor and outdoor (color/gray-scale) image sequences ranging from simple to median complexity. To evaluate the performance, three objective criteria are applied in addition to the visual inspection. The results show that the proposed method is promising for moving object tracking in video, with an averaging detection rate of 95%. Further, the proposed scheme is compared with that using the conventional mean shift for the tracking, indicating a significantly reduction in false alarm (≈ 30%).

spatial-range mean shift

video surveillance

motion field

object tracking in video

Author

Irene Yu-Hua Gu

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

Mats Viberg

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

Zhongping Cao

Nuan Song

proc. of European Signal Processing Conference ( EUSIPCO '07), Sept. 2007, Poland

Subject Categories

Computer Engineering

Production Engineering, Human Work Science and Ergonomics

Control Engineering

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

More information

Created

10/7/2017