Experimenting WNN support in object tracking systems

Volume: 183, Pages: 79 - 89
Published: Mar 1, 2016
Abstract
Object tracking is a challenging problem in many computer vision applications, which go from robotics to surveillance systems. When applied to real world conditions, tracking methods found in the literature compete in solving some inherent difficulties of object segmentation and movement prediction, such as camouflage, occlusions, dynamic background, brightness, color and shape changes. To address some of these issues, we propose a general...
Paper Details
Title
Experimenting WNN support in object tracking systems
Published Date
Mar 1, 2016
Volume
183
Pages
79 - 89
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