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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Digital Image Processing
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Two fast architectures for the direct 2-D discrete wavelettransform
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IEEE Transactions on Image Processing
Pattern Recognition Letters
Object recognition and segmentation in videos by connecting heterogeneous visual features
Computer Vision and Image Understanding
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Multiple and variable target visual tracking for video-surveillance applications
Pattern Recognition Letters
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Pattern Recognition and Image Analysis
Vehicle tracking and traffic parameter extraction based on discrete wavelet transform
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A multi-resolution framework for multi-object tracking in Daubechies complex wavelet domain
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Digital Signal Processing
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Computers and Electrical Engineering
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A new method for detecting and tracking multiple moving objects based on discrete wavelet transform and identifying the moving objects by their color and spatial information is proposed in this paper. Many tracking algorithms have better performance under static background but get worse results under background with fake motions. Therefore, most of the tracking algorithms are used indoors instead of outdoor environment. Since discrete wavelet transform has a nice property that it can divide a frame into four different frequency bands without loss of the spatial information, it is adopted to solve this problem due to the fact that most of the fake motions in the background can be decomposed into the high frequency wavelet sub-band. In tracking multiple moving objects, many applications have problems when objects pass across each other. Color and spatial information are used in this paper to solve this problem. The experimental results prove the feasibility and usefulness of the proposed method.