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Salient object detection aims to detect the attractive objects on images and videos. In this paper, we propose a novel salient object detection method for videos based on cross-frame cellular automata. Given a video, we first represent the video frames with super-pixels, and construct a saliency propagation network among super-pixels within a frame and between adjacent frames based on their appearance...
Recent advances in salient object detection in images have achieved obvious performance in various multimedia applications, but efficient salient object detection in videos is still a challenging problem. In this paper, we propose a novel salient object detection method based on spatio-temporal difference and coherence of video content. Firstly, we initialize the saliency map for each keyframe based...
A novel pedestrian detection method that integrates context information with slide window search is proposed. The method applies notions such as corner, motion, and appearance to localize pedestrians in far-field videos without performing brute-force-search. The corners direct attention to a set of conspicuous locations as the starting points for searching. And motion detection restricts the searching...
This paper proposes an approach for object tracking using particle filter based on an improved color correlogram. The improved color correlogram for representation object contains not only color information but also spatial information, which makes feature more distinctive. Instead of using the whole correlogram matrix as feature, we construct feature vector based on elements of the upper triangular...
This paper proposes a method of adaptive kernel density estimation (KDE) for motion detection. The method selects an adaptive threshold by analyzing probability histogram, which is suitable for different scenes and different moving objects. Then a mechanism of updating background using probability is also provided. It can get relative good background and is useful for motion detection. Moreover it...
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