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Although vision based road detection has been extensively studied in the past decades, road detection in adverse conditions still remains challenging. In this paper, we propose a road detection approach via superpixels and an automated version of interactive image segmentation. We first segment the input road image into superpixles, and we design a novel seed selection method based on multiple novel...
Parts of compressed video streams may be lost or corrupted when being transmitted over bandwidth limited networks and wireless communication networks with error-prone channels. Error concealment (EC) techniques are often adopted at the decoder side to improve the quality of the reconstructed video. Under the conditions of a high rate of data packets that arrives at the decoder corrupted, it is likely...
Background subtraction is a popular moving object detection technique, but its performance is dependent of the accuracy of background model. In this paper, the theory of sequential kernel density approximation is first introduced to background modeling. To this end, a novel background subtraction method for moving object detection is proposed. Various real video sequences have been used to test this...
Error concealment (EC) techniques are often adopted at the decoder side to improve the reconstructed video quality, in case of some information is lost during transmission on a bandwidth limited wired networks or wireless networks with error-prone channels. In this paper, a global motion/local motion (GM/LM) based error concealment technique is proposed for transporting MPEG-4 advanced simple profile...
Error concealment (EC) techniques are often adopted at decoder side to improve the reconstructed video qualities. In this paper, a texture based selective boundary matching algorithm (TSBMA) is proposed to conceal erroneous macro-blocks (EMBs). Different from the conventional boundary matching algorithms which are carried out progressively in the raster scan mode, the processing order of the TSBMA...
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