A Real-time Middle Wavelength Infrared ulti-target Detection and Tracking Algorithm Based on LoG

摘要：

This paper presents a real-time middle wavelength infrared multi-target detection and tracking algorithm based on LoG (Laplace of Gaussian) to resolve the poor stability and real-time of some infrared multi-target detection and tracking algorithms. According to the features of middle wavelength infrared images, this paper uses the scale invariance of LoG to detect multi-target and it can track targets in real-time. Firstly, this paper analysis the features of middle wavelength images, then uses the features of targets and backgrounds to segment the targets from backgrounds. Secondly, this paper uses LoG operator to detect multi-target. Lastly, this paper computes horizontal and vertical projection histograms of targets in the tracking windows and computes the regional connectivity of histograms to track targets. This paper uses infrared target detection and tracking system to test this algorithm, the results show that this algorithm can detect and track multi-target of different scales stably in real-time.

关键词： middle wavelength infrared LoG target detection and tracking scale invariance.

作者: Song Dan Zhao Baojun Tang Linbo

作者单位: School of Information Science and Technology,Beijing Institute of Technology

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 1227-1231

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）