Object Tracking In Images And Videos

Talmale, Prof. Shweta K.; Janwe, Prof. Nitin J.

doi:10.18535/ijecs/v5i1.14

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2017

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“…Nowadays, object tracking is a widely investigated topic in engineering and computer vision [1,2]. Video surveillance, vehicle navigation, human-computer interaction, and robotics are examples of tracking applications [3,4,5,6,7,8,9,10,11].…”

Section: Introductionmentioning

confidence: 99%

Real-time tracking of multiple objects with locally adaptive correlation filters

Ruchay¹,

Kober²,

Chernoskulov³

2017

Collection of Selected Papers of the III International Conference on Information Technology and Nanotechnology

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A tracking algorithm using locally adaptive correlation filtering is proposed. The algorithm is designed to track multiple objects with invariance to pose, occlusion, clutter, and illumination variations. The algorithm employs a prediction scheme and composite correlation filters. The filters are synthesized with the help of an iterative algorithm, which optimizes discrimination capability for each target. The filters are adapted online to targets changes using information of current and past scene frames. Results obtained with the proposed algorithm using real-life scenes, are presented and compared with those obtained with state-of-the-art tracking methods in terms of detection efficiency, tracking accuracy, and speed of processing.

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