Fast Detection and Tracking of Faces in Uncontrolled Environments for Autonomous Robots Using the CNN-UM
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چکیده
We present a real-time system for the detection and tracking of faces in uncontrolled environments suitable for autonomous robots. The system is based on a CNN algorithm using a CNN-UM chip connected to a robot, which had to perform a face tracking task using a web camera mounted on a pan-tilt zoom unit. The experimental evaluation of the system demonstrates fast, reliable tracking of faces under uncontrolled lighting conditions and with temporary occlusions of the tracked face.
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تاریخ انتشار 2004