2019
DOI: 10.3390/app9071338
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Adaptive Context-Aware and Structural Correlation Filter for Visual Tracking

Abstract: Featured Application: There are many application scenarios for tracking. For example, tracking can be used to assist driving to improve driving safety. Moreover, tracking can assist the police to search for suspicious vehicles in massive videos.Abstract: Accurate visual tracking is a challenging issue in computer vision. Correlation filter (CF) based methods are sought in visual tracking based on their efficiency and high performance. Nonetheless, traditional CF-based trackers have insufficient context informa… Show more

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Cited by 1 publication
(4 citation statements)
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“…Most state-of-the-art tracking algorithms adopt the tracking-by-detection method, which is a form of discriminative model. A discriminative model method [18][19][20][21][22][23][24][25][26][27][28][29][30] treats object tracking as an object detection task in each frame wherein image features are collected to train a classifier. Specifically, the target area and background are regarded as positive samples and negative samples, respectively.…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations
“…Most state-of-the-art tracking algorithms adopt the tracking-by-detection method, which is a form of discriminative model. A discriminative model method [18][19][20][21][22][23][24][25][26][27][28][29][30] treats object tracking as an object detection task in each frame wherein image features are collected to train a classifier. Specifically, the target area and background are regarded as positive samples and negative samples, respectively.…”
Section: Related Workmentioning
confidence: 99%
“…Recently, correlation filters [18][19][20][21][22][23][24][25][26][27] and deep learning-based trackers [28][29][30][31][32][33][34][35] have become two active research topics of discriminative model methods with outstanding performance. Owing to the attractive property of extracting deep features, trackers based on deep learning have demonstrated great potential for the object tracking task.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations