Detecting motion object by spatio-temporal entropy
Yufei Ma, Hong-Jiang Zhang · 2001
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.SinceSTEI 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.