Detecting motion object by spatio-temporal entropy

Moving object detection is an important task in video analysis. In this paper, we propose a new method for detecting moving objects based on spatio-temporal entropy. By measuring color variation in multiple successive frames, a spatio-temporal entropy image (STPI) is formed. Then the morphological methodology is employed to extract salient motions or moving objects from STEI .S inceSTEI is a statistical measurement of variation, the proposed method is more robust to noises than traditional difference based methods. Experimental results show that the proposed approach is effective for motion objects detection, and it can be used in real-time surveillance.

[1]  Hans-Hellmut Nagel,et al.  New likelihood test methods for change detection in image sequences , 1984, Comput. Vis. Graph. Image Process..

[2]  Patrick Bouthemy,et al.  Motion detection robust to perturbations: A statistical regularization and temporal integration framework , 1993, 1993 (4th) International Conference on Computer Vision.

[3]  Edward H. Adelson,et al.  Analyzing and recognizing walking figures in XYT , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Alex Pentland,et al.  Pfinder: real-time tracking of the human body , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[5]  Fang Liu,et al.  Finding periodicity in space and time , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[6]  Larry S. Davis,et al.  View-based detection and analysis of periodic motion , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[7]  W. Eric L. Grimson,et al.  Using adaptive tracking to classify and monitor activities in a site , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[8]  Hironobu Fujiyoshi,et al.  Moving target classification and tracking from real-time video , 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).

[9]  Lambert E. Wixson,et al.  Detecting salient motion by accumulating directionally-consistent flow , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[10]  Jörn Ostermann,et al.  Detection of Moving Cast Shadows for Object Segmentation , 1999, IEEE Trans. Multim..