{ "item_title" : "Visual Object Tracking with Deep Neural Networks", "item_author" : [" Srinivasan Ramakrishnan", "Pier Luigi Mazzeo", "Paolo Spagnolo "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/78/985/157/1789851572_b.jpg", "price_data" : { "retail_price" : "155.00", "online_price" : "155.00", "our_price" : "155.00", "club_price" : "155.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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