Low-power Embedded Vision: A Face Tracker Case Study (Pierre Paulin, May 2015)
Pierre Paulin, R&D Director for Embedded Vision at Synopsys, presents the “Low-power Embedded Vision: A Face Tracker Case Study“ tutorial at the May 2015 Embedded Vision Summit.
The ability to reliably detect and track individual objects or people has numerous applications, for example in the video-surveillance and home entertainment fields. While this has proven to be a challenging problem, recent years have brought higher performance solutions such as the Tracking-Learning-Detection (TLD) algorithm.
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