Design and analysis of real-time detection system for small targets moving

Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves

Volumn 19, Issue 5, 2000, Pages 369-370

  Shen, Yu Jian ^a  

^a CHANGCHUN INSTITUTE OF OPTICS   (China)

Author keywords

Adaptive threshold; Constant false alarm probability; Real time detection system; Temporal recursive low pass filtering

Indexed keywords

ALARM SYSTEMS; COMPUTER VISION; IMAGE PROCESSING; REAL TIME SYSTEMS; THRESHOLD LOGIC;

CONSTANT FALSE ALARM PROBABILITY; DETECTION SYSTEM; TEMPORAL RECURSIVE LOW PASS FILTERING;

OBJECT RECOGNITION;

EID: 0034290376     PISSN: 10019014     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. Holger Lange. Real time motion detection for target acquisition "on the move" based on a nonlinear filter using short time and medium time image difference, S PIE Conference on Real-Time Imaging IV, 1999,3645:98-109
2. ZHU Hong, ZHAO Yi-Gong. Detection of weak and small moving infrared targets by adaptive prediction of background, J. Infrared Millim. Waves 1999,18(4) :306-309
3. Shawn S Toumodge. Detection on tracking of small targets in persistence, In : Proceedings of SPIE Signal and Data Processing of Small Targets, 1991,1481:221-228
4. HanneIore G Hansen,Cyrus Elyashar. Adaptive threshold adjustment and control, In: Proceedings of SPIE, Signal and Data Processing of Small Targets, 1989, 1096:44-54
5. Dr Paul Frank Singer, Doreen M Sasaki. A performance model for unresolved target detection using multispectral infrared data, In: Proceedings of SPIE, Signal and Data Processing of Small Targets, 1998,3373:16-23