Abstract
This paper proposes an improved motion detection method based on the entropy image and the adaptive state-labeling algorithm. In our method, a spatio-temporal sliding window is built for each pixel, and the pixels in the sliding window are assigned state labels according to our adaptive state-labeling technique. The state label distribution in the sliding window is used to construct the entropy image, in which a pixel with lower entropy is considered as part of a moving object In this paper, we have compared our motion detection method with the MRF (Markov random field) based method, the STEI (spatio-temporal entropy image) method, and the DSTEI (difference-based spatio-temporal entropy image) method. Experimental results show that our motion detection method is robust and has lower computational complexity.
Original language | English |
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Article number | 4253476 |
Pages (from-to) | 3667-3670 |
Number of pages | 4 |
Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
DOIs | |
State | Published - 2007 |
Externally published | Yes |
Event | 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States Duration: 27 05 2007 → 30 05 2007 |