Object occlusion and object removal detection

Yung Joon Chai; Siak Wang Khor; Yong Haur Tay

doi:10.1117/12.2032482

19 July 2013 Object occlusion and object removal detection

Yung Joon Chai, Siak Wang Khor, Yong Haur Tay

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88782F (2013) https://doi.org/10.1117/12.2032482
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

In general, there have methods to detect object removal event, but when people blocking the object an object, it is possible detect the event as removed. Thus, if we can make the system can classify between occlusion event and removal event, this can increase the accuracy and performance of the system. In this paper, we present a method that can detect and classify object occlusion and object removal event. The detection and classification uses Canny edge detector, and the classification can be done by determining the edge similarity of the object between background and current image. The system is tested in different places and it gives an acceptable and satisfied result.

Citation Download Citation

Yung Joon Chai, Siak Wang Khor, and Yong Haur Tay "Object occlusion and object removal detection", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782F (19 July 2013); https://doi.org/10.1117/12.2032482

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