Target tracking based on particle swarm optimization using dynamic pyroelectric infrared sensor

被引：0

作者：

Wang, Zebing ^{[1
]}

Yang, Wei ^{[1
]}

Qin, Li ^{[1
]}

机构：

[1] Key Laboratory of Instrumentation Science and Dynamic Measurement, National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, 030051, Shanxi

来源：

Guangxue Xuebao/Acta Optica Sinica | 2014年 / 34卷 / 10期

关键词：

Detection angle; Detectors; Dynamic; Particle swarm optimization; Pyroelectric infrared sensor; Tracking;

D O I：

10.3788/AOS201434.1004001

中图分类号：

学科分类号：

摘要：

In infrared target tracking, the pyroelectric infrared (PIR)sensor can detect the relative direction of a thermal moving target through optical modulation, but cannot get its accurate distance. For this, a swarm intelligence search approach is proposed. At the swing state, PIR can feel the moving target, at the same time, the detection angle is recorded. By analyzing the relationship between the detection angle sequence and the discrete points of moving target trajectory in polar coordinates, finding that the target trace is determined by the polar radius sequence. Multi-dimensional polar diameter particle swarm optimization space is established. Meanwhile, a fitness function to evaluate the particle's merits is proposed. The target trajectory can be obtained. The proposed method is an effective solution to enlarge the detection range and improve the accuracy of target tracking. Human body's tracking experiment is performed. The average localization error is not more than 0.4 m. The findings demonstrate the effectiveness of the method.

引用

页数：7

共 13 条

[1]

Hao Q., Brady D.J., Guenther B.D., Et al., Human tracking with wireless distributed pyroelectric sensors , IEEE Sensors Journal, 6, 6, pp. 1683-1696, (2006)

[2]

Shankar M., Burchett J.B., Hao Q., Et al., Human-tracking system using pyroelectric infrared detectors , 45, 10, (2006)

[3]

Huang X., Design and Implementation of Pyroelectric Infrared Wireless Sensor Network Human Positioning System , (2009)

[4]

Shen B., Luo X., Wang G., Et al., An approach for motion detecting and localization using pyroelectric infrared sensor , 21, 9, pp. 1350-1354, (2010)

[5]

Xiao J., Yang B., Target localization based on pyroelectric infrared sensing technology , Infrared, 32, 12, pp. 17-22, (2011)

[6]

Xu W., Yang W., Research on detection method of infrared sensor array , Transducer and Microsystem Technologies, 28, 9, pp. 16-18, (2009)

[7]

Zhang Y., Yang W., Yue Y., Et al., Influencing factors research of detection range on pyroelectric infrared sensor , 29, 6, pp. 448-451, (2010)

[8]

Sun Q., Yang W., Yu H., Et al., New target location method based on dynamic pyroelectric infrared sensor , Infrared and Laser Engineering, 41, 9, pp. 2288-2292, (2012)

[9]

Sun Q., Yang W., Zhang W., Et al., Research on target tracking based on dynamic pyroelectric infrared sensor network , J Optoelectronics·Laser, 24, 12, pp. 2399-2403, (2013)

[10]

Kennedy J., Eberhart R.C., Particle swarm optimization , Proceedings of IEEE International Conference on Neural Networks, pp. 1942-1948, (1995)

← 1 2 →