Accurate video object segmentation through change detection
Proceedings. IEEE International Conference on Multimedia and Expo - Tập 1 - Trang 445-448 vol.1
Tóm tắt
We propose an algorithm for the accurate extraction of video objects from color sequences. The semantics defining the video objects is motion, and the extraction algorithm is based on change detection. The color difference between frames is modeled so as to separate the contributions caused by sensor noise and illumination variations from those caused by meaningful objects. Sensor noise is eliminated by using a probability-based classification, and local illumination variations are removed using a knowledge-based approach that is formulated as a hypothesize-and-test scheme. Experimental results show that the proposed method provides accurate contours of multiple deformable objects, thus providing a reliable input to object-based applications such as those supported by the MPEG-4 and MPEG-7 standards.
Từ khóa
#Object segmentation #Object detection #Data mining #Motion detection #Layout #Image segmentation #Colored noise #Signal processing algorithms #Lighting #MPEG 4 StandardTài liệu tham khảo
10.1016/0165-1684(93)90063-G
skifstad, 1989, Illumination independent change detection for real world image sequences, Computer Vision Graphics and Image Processing, 46, 387, 10.1016/0734-189X(89)90039-X
10.1016/S0031-3203(98)00036-3
10.1016/S0165-1684(98)00007-3
toth, 2000, Bayesian spatio-temporal motion detection under varying illumination illumination-invariant change detection, Proceedings of European Conference on Signal Processing (EUSIPCO), 3
10.1109/ICIAP.1999.797754
10.1109/ISCAS.2001.921026
10.1016/S0165-1684(98)00006-1
10.1016/0923-5965(95)00003-F
10.1109/TPAMI.1979.4766907