bokomslag Visual Object Tracking with Deep Neural Networks
Data & IT

Visual Object Tracking with Deep Neural Networks

Pier Luigi Mazzeo Srinivasan Ramakrishnan Paolo Spagnolo

Inbunden

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  • 206 sidor
  • 2019
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.
  • Författare: Pier Luigi Mazzeo, Srinivasan Ramakrishnan, Paolo Spagnolo
  • Format: Inbunden
  • ISBN: 9781789851571
  • Språk: Engelska
  • Antal sidor: 206
  • Utgivningsdatum: 2019-12-18
  • Förlag: IntechOpen