DocumentCode :
693220
Title :
The implementation of an improve infrared dim-small target track before detect based on DSP
Author :
Ji Qingbo ; Ren Chao ; Qu Lewei ; Wu Chang
Author_Institution :
Inf. & Commun. Eng. Coll., Harbin Eng. Univ., Harbin, China
Volume :
04
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
1514
Lastpage :
1518
Abstract :
For detecting and tracking the infrared dim-small target with the low SNR, the particle filter algorithm is applied to the problem of infrared dim-small target´s tracking before detection in this paper. The infrared dim-small target´s tracking before detection based on the full view sampling´s particle filter algorithm is proposed. And the hardware system is composed of an infrared imager, the ICETEK-DM642-PCI development board and the monitor. The hardware system is configured by using DSPIBIOS which is a real-time operating system. The experimental results show that the system achieves better detection and tracking´s effect than the traditional methods.
Keywords :
digital signal processing chips; object detection; optical tracking; particle filtering (numerical methods); real-time systems; target tracking; DSP; infrared dim small target track; infrared imager; particle filter algorithm; real time operating system; target tracking; Abstracts; Digital signal processing; Equations; Lead; Mathematical model; SDRAM; Signal to noise ratio; DSPIBIOS; Infrared dim-small target; Low SNR; Particle filter algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890843
Filename :
6890843
Link To Document :
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