Machine vision
A Robust Competitive Clustering Algorithm With Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
Robust mixture modelling using the t distribution
Statistics and Computing
Clustering with EM: Complex Models vs. Robust Estimation
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Locale-Based Visual Object Retrieval under Illumination Change
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Robust clustering methods: a unified view
IEEE Transactions on Fuzzy Systems
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
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This article presents a method suitable for the characterization of fishes evolving in a basin. It is based on the analysis of video sequences obtained from a fixed camera. One of the main difficulties of analyzing natural scenes acquired from an aquatic environment is the variability of illumination. This disturbs every phase of the whole process. We propose to make each task more robust. In particular, we propose to use a clustering method allowing to provide species parameters estimates that are less sensitive to outliers.