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This paper introduces a method to guide the visual search towards a searched object, analogously to what is performed by the top-down visual attention mechanism. This is done by prioritizing scene descriptors based on their Hamming distance to the descriptors of the target. The proposal has constant space and time complexity in relation to the number of descriptors of the searched object. Moreover,...
This paper presents an approach for visual tracking, consisting of two combination modules, which are global detector and local image patch matching. The former gives the classification response for each object candidate specified by the sliding window in the searching region. The classification can be performed by any global detector, which is based on the feature from the local patch in the object...
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