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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Information Theoretic View-Based and Modular Face Detection
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Wavelet Based Texture Classification
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Content-based multimedia information retrieval: State of the art and challenges
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Performance evaluation in visual surveillance using the F-measure
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
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Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
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In this article, we present an object tracking system which allows interactive user feedback to improve the accuracy of the tracking process in real-time video. In addition, we describe the hybrid maximum likelihood similarity, which integrates traditional metrics with the maximum likelihood estimated metric. The hybrid similarity measure is used to improve the dynamic relevance feedback process between the human user and the objects detected by our system.