Road Traffic Control Gesture Recognition using Depth Images
Quoc Khanh Le, Chinh Huu Pham, Thanh Ha Le · IEIE Transactions on Smart Processing and Computing · 2012
This paper presents a systemused toautomatically recognize the road traffic control gestures of police officers. In this approach,the control gestures of traffic police officers are captured inthe form of depth images.A human skeleton is then constructed using a kinematic model. The feature vector describing a traffic control gesture is built from the relative angles found amongstthe joints of the constructed human skeleton. We utilizeSupport Vector Machines (SVMs) to perform the gesture recognition. Experiments show that our proposed method is robust and efficient and is suitable for realtime application. We also present a testbed system based on the SVMs trained data for real-time traffic gesture recognition.