A DSP-based video processing system for infrared small targets detection

Author

Yinan Cao ; Yan Zhou ; Xinwei Wang ; Songtao Fan ; Jun He

Author_Institution

Inst. of Semicond., Beijing, China

fYear

2014

fDate

15-17 Nov. 2014

Firstpage

839

Lastpage

843

Abstract

A DSP based system is proposed to detect infrared small targets in thermal imaging. The core of the system is TMS320DM6467T, in which an ARM9 and a C64+ DSP are integrated. The system includes a video capture module, a video process module and a video output module. To detect small targets in the video, an algorithm based on maximum between-class variance method in wavelet domain is proposed. Video stream data is obtained by a thermal imager, and then processed in proposed system. Experiment shows that the system is capable of target detection for thermal imaging.

Keywords

digital signal processing chips; infrared imaging; object detection; video signal processing; video streaming; wavelet transforms; ARM9; C64+ DSP; DSP-based video processing system; TMS320DM6467T; infrared small target detection; maximum between-class variance method; thermal imager; thermal imaging; video capture module; video output module; video process module; video stream data; wavelet domain; Digital signal processing; Gray-scale; Image segmentation; Object detection; Random access memory; Streaming media; heterogeneous DSP; small target; thermal image processing; wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Informatics (ICSAI), 2014 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4799-5457-5

Type

conf

DOI

10.1109/ICSAI.2014.7009401

Filename

7009401