TY - GEN
T1 - Robust target detection and tracking in outdoor infrared video
AU - Li, Changchun
AU - Jiang, Nan
AU - Si, Jennie
AU - Abousleman, Glen P.
PY - 2008
Y1 - 2008
N2 - Automated tracking of targets within outdoor infrared (IR) video sequences poses a host of challenges. These include automatic gain adjustment in the IR camera, extreme granularity, large luminance changes, and uncontrolled environmental factors such as moving foliage, animals, and birds, among others. To address these problems, we present an IR video target tracking system for stationary cameras that learns and divides the video frames into reliable and unreliable regions. A difference-frame-based method can recognize moving regions with high sensitivity and reliably discern background clutter from target motion. A low-complexity target validation process is presented, which in conjunction with the reliable region masking, dramatically reduces the number of false alarms. We demonstrate the outstanding performance of the proposed system using real-world IR video sequences with difficult background motion clutter, as well as with small and blurred moving targets.
AB - Automated tracking of targets within outdoor infrared (IR) video sequences poses a host of challenges. These include automatic gain adjustment in the IR camera, extreme granularity, large luminance changes, and uncontrolled environmental factors such as moving foliage, animals, and birds, among others. To address these problems, we present an IR video target tracking system for stationary cameras that learns and divides the video frames into reliable and unreliable regions. A difference-frame-based method can recognize moving regions with high sensitivity and reliably discern background clutter from target motion. A low-complexity target validation process is presented, which in conjunction with the reliable region masking, dramatically reduces the number of false alarms. We demonstrate the outstanding performance of the proposed system using real-world IR video sequences with difficult background motion clutter, as well as with small and blurred moving targets.
KW - Infrared video
KW - Reliable region
KW - Target detection
KW - Target tracking
KW - Tracking-based detection
UR - http://www.scopus.com/inward/record.url?scp=51449086387&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51449086387&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2008.4517903
DO - 10.1109/ICASSP.2008.4517903
M3 - Conference contribution
AN - SCOPUS:51449086387
SN - 1424414849
SN - 9781424414840
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1489
EP - 1492
BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Y2 - 31 March 2008 through 4 April 2008
ER -