Analogic CNN algorithm for estimating position and size of moving objects

An analogic CNN algorithm is proposed for detection of multiple moving objects in high resolution, grey-scale images taken from a fixed camera. The algorithm, based on simple 3 × 3 templates, can be implemented using CNN hardware, providing the real-time operation required in surveillance and traffic control applications. Efficient separation of moving objects from the background is obtained through automatic threshold selection. The performance of the proposed method is shown using real-life indoor and outdoor video sequences. Copyright © 2004 John Wiley & Sons, Ltd.

[1]  Leon O. Chua,et al.  Cellular neural networks: applications , 1988 .

[2]  Leon O. Chua,et al.  Detecting moving and standing objects using cellular neural networks , 1992, Int. J. Circuit Theory Appl..

[3]  Lin-Bao Yang,et al.  Cellular neural networks: theory , 1988 .

[4]  Leon O. Chua,et al.  CNN cloning template: connected component detector , 1990 .

[5]  P. Szolgay,et al.  An analogic CNN algorithm for following continuously moving objects , 2000, Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509).

[6]  Tamás Roska,et al.  Adaptive histogram equalization with cellular neural networks , 1996, 1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96).

[7]  Lin-Bao Yang,et al.  Application of a cellular neural network to facial expression animation and high-level image processing , 1996 .

[8]  Leon O. Chua,et al.  Automatic detection and tracking of moving image target with CNN‐UM via target probability fusion of multiple features , 2003, Int. J. Circuit Theory Appl..

[9]  Tamás Roska,et al.  Analogic CNN computing: architectural, implementation, and algorithmic advances-a review , 1998, 1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359).

[10]  A. Zarandy,et al.  Novel types of analogic CNN algorithms for recognizing bank-notes , 1994, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94).

[11]  Josef A. Nossek,et al.  Some examples of preprocessing analog images with discrete-time cellular neural networks , 1994, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94).

[12]  G. Linan,et al.  The CNNUC3: an analog I/O 64x64 CNN universal machine chip prototype with 7-bit analog accuracy , 2000, Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509).

[13]  Gustavo Liñán Cembrano,et al.  Implementation of non-linear templates using a decomposition technique by a 0.5 /spl mu/m CMOS CNN universal chip , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

[14]  Ákos Zarándy,et al.  An analogic CNN engine board with the 64/spl times/64 analog I/O CNN-UM chip , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

[15]  A. Rodriguez-Vazquez,et al.  Realization of non-linear templates using the CNNUC3 prototype , 2000, Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509).