상세정보
학술대회
A Hand Posture Recognition System Utilizing Frequency Difference of Infrared Light
- 발행일
- 201411
- 출처
- Symposium on Virtual Reality Software and Technology (VRST) 2014, pp.65-68
- 협약과제
- 14MS3500, 인터랙티브 콘텐츠와 상호작용을 위한 고정밀 모바일 및 파노라믹 360도 다수 사용자 동작 인식 기술 개발, 박지영
- 초록
- Hand gesture is one of the most effective methods to perform interactions between humans and also between humans and computers. However, currently existing depth cameras do not provide sufficient resolution and precision for effectively recognizing hand postures in distance (>2 meters). Existing researches tried to solve the limitation by using a combination of depth information and color information. However, they all could not have stable performance, because the color information is naturally affected by visible light condition. In this paper, we introduce a hardware system and an algorithm to recognize hand postures of a distant user while guaranteeing its performance even in the dark. Specifically, by utilizing infrared(IR) lights and their frequency difference, our system simultaneously gathers a depth map from Kinect and a high resolution IR image of a scene from an additional IR camera without any interference. The system analyzes the IR image of a hand using histogram of oriented gradients and support vector machine. In addition, the recognition system has a technique to compensate errors of hand position estimation unavoidable in any hand detection algorithms. As a result, from the experiment on real-time data, the proposed system classifies seven different hand postures with an average precision rate of 92.17% and the precision rate is maintained in the dark (<5 lux) with an average precision rate of 93.28%.
- KSP 제안 키워드
- Average Precision, Color information, Depth Map, Depth camera, Depth information, Detection algorithm, Frequency difference, Hand Position, Hand detection, Hand gestures, Hand posture recognition