On the relationship between neural networks, pattern recognition and intelligence
International Journal of Approximate Reasoning - Special issue on fuzzy logic and neural networks for pattern recognition and control
Content-Based Video Indexing and Retrieval
IEEE MultiMedia
Exploiting the JPEG Compression Scheme for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial models for fuzzy clustering
Computer Vision and Image Understanding
Foundations of Fuzzy Systems
Real-time surveillance system detecting persons in complex scenes
Real-Time Imaging
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
A Unified Approach to Temporal Segmentation of Motion JPEG and MPEG Compressed Video
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
Efficient processing of compressed images and video
Efficient processing of compressed images and video
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This paper proposes a video retrieval system from compressed outdoor video surveillance databases. The aim is to extract moving objects from frames provided by MPEG video stream in order to classify them into predefined categories according to image-based properties, and then robustly index them. The principal idea is to combine between useful properties of metrical classification and the notion of temporal consistency. Fuzzy geometry classification is used in order to provide an efficient method to classify motion regions into three generic categories: pedestrian, vehicle and no identified object. The temporal consistency provides a robust classification to changes of objects appearance and occlusion of object motion. The classified motion regions are used as templates for metrical training algorithms and as keys for tree indexing technique.