3D Neural Model-Based Stopped Object Detection
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Real-time illegal parking detection in outdoor environments using 1-D transformation
IEEE Transactions on Circuits and Systems for Video Technology
Simplified SOM-neural model for video segmentation of moving objects
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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In this paper, a system for automatic robust video surveillance is described and in particular its application to the problem of locating vehicles that stop in prohibited area is discussed. The structure of software for video processing (alarm generation, interface with the operator and information storage) is outlined together with the hardware (Trimedia DSP boards and industrial computers) which constitutes an industrial-grade product. The emphasis on this paper is to demonstrate robust detection and hence we show the results of a performance evaluation process carried out with the UK's i-LIDS “Parked Vehicle” reference dataset.