A long term change detection method for surveillance applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1311, Issue , 1997, Pages 485-492

  Regazzoni, Carlo S ^a   Teschioni, Andrea ^a   Stringa, Elena ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; SHIFT REGISTERS; SIGNAL DETECTION;

LONG TERM CHANGE; PROBABILISTIC MODELING; RAILWAY STATIONS; REAL IMAGE SEQUENCES; SURVEILLANCE APPLICATIONS; SURVEILLANCE SYSTEMS; THEORETICAL POINTS;

IMAGE ANALYSIS;

EID: 84957708927     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63508-4_159     Document Type: Conference Paper

References (6)

1. K. Skifstad, R. Jain, "Illumination Independent Change Detection for Real World image Sequences", CVGIP, vol. 46, pp 387-399, 1989.
2. T.S. Huang (ed.), Image Sequence Analysis, Springer NY, 1981.
3. G. Nicchiotti and E. Ottaviani, "Automatic vehicle counting form image sequences", in Proc. Of Lit. Conf. On Time Varying Image Processing and Moving Object Recognition 1993, pp 410-417.
4. G.W. Donohoe, D.R. Husg and N. Ahmed, "Change detection for target detection and classification in video sequences", in Proc. IEEE Conf. Acoustics, Speech and Signal Processing, 1988, pp 1084-1087.
5. Z.S. Jain and Y.A. Chau, "Optimum Multisensor Data Fusion for Image Change Detection", IEEE Trans. On Systems, Man and Cybernetics, Vol. 25, No. 9, September 1995, pp 1340-1347.
6. P. Kannann, A.V. Brandt, "Moving Object Recognition using an adaptive background memory" in Proc. on Int. Conf. On Time Varying and Moving Object Recognition 1990, pp 289-296.