A probabilistic framework for tracking small objects in infra-red images

IEE Colloquium (Digest)

Volumn , Issue 253, 1996, Pages

  Toulson, D L ^a   Boyce, J F ^a   Bernhardt, M ^b   Welch, M ^b  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b DRA   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; INFRARED IMAGING; MATHEMATICAL MODELS; PROBABILITY; RADIOMETRY;

INDEPENDENT IDENTICALLY DISTRIBUTED (IID) NOISE; OBJECT TRACKING;

TRACKING (POSITION);

EID: 0030572791     PISSN: 09633308     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. Y. Bar-Shalom T.E. Fortmann Tracking And Data Association Academic Press, New York 1988.
2. P.S. Maybeck. R.L. Jensen D.A. Hernly An Adaptive Extended Kalman Filter For Target Image Tracking IEEE Transactions On Aerospace And Electronic Systems AES-17 p.173-180. 1981.
3. A.P. Dempster, N.M. Laird, D.B. Rubin. Maximum Likelihood Estimation From Incomplete Data via the EM Algorithm (with discussion). Journal Of The Royal Statistical Society. B 39, pp. 1-38.
4. R.E. Kalman A New Approach to Linear Filtering and Prediction Problems. Trans. ASME, J. Basic Engineering, Vol. 82 pp. 34-45. 1960.
5. D.L. Toulson J.F. Boyce Data Fusion For Target Determination Using A Committee Network The Role of Intelligent Systems in Defence Royal Aeronautical Society, March 27-28 1995.
6. D.L. Toulson J.F. Boyce Fused Target Recognition Using a Comittee Of Neural Networks World Congress on Neural Networks, July 1995, Washington DC.
7. J.F. Boyce D.L. Toulson Moving Object Tracking Using Camera Motion Corrected Kalman Filtering. Fourth International Conference On Image Processing And Its Applications (IAPR-92). pp. 81-85.