Keeping Multiple Moving Targets in the Field of View of a Mobile Camera

被引:43
|
作者
Gans, Nicholas R. [1 ]
Hu, Guoqiang [2 ]
Nagarajan, Kaushik [1 ]
Dixon, Warren E. [3 ]
机构
[1] Univ Texas Dallas, Dept Elect Engn, Richardson, TX 75080 USA
[2] Kansas State Univ, Dept Mech & Nucl Engn, Manhattan, KS 66506 USA
[3] Univ Florida, Dept Mech & Aerosp Engn, Gainesville, FL 32611 USA
关键词
Robust control; visual servoing; video surveillance; VISUAL SERVO CONTROL; SENSOR-BASED CONTROL; AUTONOMOUS VEHICLES; ROBOT MANIPULATORS; KINEMATIC CONTROL; AERIAL VEHICLE; FEATURES;
D O I
10.1109/TRO.2011.2158695
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This study introduces a novel visual servo controller that is designed to control the pose of the camera to keep multiple objects in the field of view (FOV) of a mobile camera. In contrast with other visual servo methods, the control objective is not formulated in terms of a goal pose or a goal image. Rather, a set of underdetermined task functions are developed to regulate the mean and variance of a set of image features. Regulating these task functions inhibits feature points from leaving the camera FOV. An additional task function is used to maintain a high level of motion perceptibility, which ensures that desired feature point velocities can be achieved. These task functions are mapped to camera velocity, which serves as the system input. A proof of stability is presented for tracking three or fewer targets. Experiments of tracking eight or more targets have verified the performance of the proposed method.
引用
收藏
页码:822 / 828
页数:7
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