PERCEPTION
Object Tracking System by Pan-Tilt Cameras and Arm Robot Using Particle Filter
Hiroyuki Ukida, Yasuyuki Yamanaka, Masahiro Inoue, Masayuki Kawanami
- 发表年份
- 2010
- 引用次数
- 2
摘要
In this paper, we propose an object tracking system using an arm robot and two pan-tilt cameras. By combining these devices, we realize the high speed and wide range object tracking method. In order to trace an object, we must find the pattern of object in camera images. To perform fast object detection, we employ a method of the particle filter which describes object location probabilistically. In experiments, our tracking system can trace objects which move surround of the system, and we can confirm effectiveness of proposed method.
关键词
Computer visionParticle filterArtificial intelligenceTracking (education)Object (grammar)Video trackingTilt (camera)Computer scienceTracking systemTRACE (psycholinguistics)
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002