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A novel approach is presented for change detection of very high resolution images, which is accomplished by fast object level change feature extraction and progressive change feature classification. In addition, the Kalman filter used to track VHR images. Object-level change feature is helpful for improving the discriminability between the changed class and the unchanged class. Progressive change...
In this paper, we present an extension to the recurrent motion image (RMI) motion-based object recognition framework for use in development of automated video surveillance systems. We extended the object classes of RMI to include four-legged animals (such as dog and cat) and enhanced the preprocessing and shadow removal algorithms for better object segmentation and recognition. Under the new framework,...
To enable content based functionalities in video processing algorithms, decomposition of scenes into semantic objects is necessary. A semi-automatic Markov random field based multiresolution algorithm is presented for video object extraction in a complex scene. In the first frame, spatial segmentation and user intervention determine objects of interest. The specified objects are subsequently tracked...
This paper proposes a DCT-based moving object extraction algorithm which is focused on rainy condition by change detection method. The DCT technique is used to decrease the rainy effect in order to construct a reliable background model. Then, we use change detection to classify pixels in video frame into the foreground region or background region so as to acquire an initial object mask. Besides, reflection...
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