F. Chau & Associates, LLC
Object detection method and system
An object detection method and a neural network system for object detection are disclosed. The object detection method acquires a current frame of a sequence of frames representing an image sequence, and extracts a feature map of the current frame. The extracted feature map is pooled with information of a pooled feature map of a previous frame to thereby obtain a pooled feature map of the current frame. An object is detected from the pooled feature map of the current frame. A dynamic vision sensor (DVS) may be utilized to provide the sequence of frames. Improved object detection accuracy may be realized, particularly when object movement speed is slow.
SAMSUNG ELECTRONICS CO., LTD. BEIJING SAMSUNG TELECOM R&D CENTER
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Jia Weiheng Hyunku Feng Dongqing Hyunsurk Keun Joo Qiang
Li Liu Lee Shi Zou Ryu Park Wang