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Deep Match Tracker Classifying when Dissimilar, Similarity Matching when Not

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dc.contributor.author Kokul, T.
dc.contributor.author Fookes, C.
dc.contributor.author Sridharan, S.
dc.contributor.author Ramanan, A.
dc.contributor.author Pinidiyaarachchi, U.A.J.
dc.date.accessioned 2019-11-25T07:18:24Z
dc.date.accessioned 2022-06-27T04:11:21Z
dc.date.available 2019-11-25T07:18:24Z
dc.date.available 2022-06-27T04:11:21Z
dc.date.issued 2018-10-07
dc.identifier.issn 2381-8549
dc.identifier.uri http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1294
dc.description.abstract Visual tracking frameworks employing ConvolutionalNeural Networks (CNNs) have shown state-of-the-art performancedue to their hierarchical feature representation. Whileclassification and update based deep neural net tracking haveshown good performance in terms of accuracy, they havepoor tracking speed. On the other hand, recent matchingbased techniques using CNNs show higher than real-timespeed in tracking but this speed is achieved at a considerablylower accuracy. To successfully manage the trade-offbetween accuracy and speed, we propose a novel CNN architecturefor visual tracking. We achieve this trade-off balanceby using an approach in which consecutive similar framesare processed with a similarity matching technique, and dissimilarframes are processed with a classification approachwithin the CNN architecture. The tracking speed is improvedby avoiding unnecessary model updates through the measurementof similarity between adjacent frames, while theaccuracy is maintained by adopting a classification approachwhen needed, with deeper level features. Extensive evaluationperformed on a publicly available benchmark dataset demonstrates our proposed tracker shows competitive performancewhile maintaining near real-time speed. en_US
dc.language.iso en_US en_US
dc.publisher IEEE, IEEE International Conference on Image Processing (ICIP). en_US
dc.subject object tracking en_US
dc.subject deep tracking en_US
dc.title Deep Match Tracker Classifying when Dissimilar, Similarity Matching when Not en_US
dc.type Article en_US


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