Visual Object Tracking with Deep Neural Networks
Material type: TextPublication details: IntechOpen 2019Description: 1 electronic resource (206 p.)ISBN:- 9781789851588
Item type | Current library | Call number | Status | Date due | Barcode | |
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E-Book | Directory of Open Access Books | Not For Loan |
Open Access
Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research.
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