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The purpose of this paper is to evaluate and compare different spatio-temporal interest points (STIP) detectors which are considered as extensions of the most common interest points (IP) detectors in 2D images to 3D space-time features: Harris 3D, Motion Scale Invariant Feature Transform (MoSIFT) and Speeded Up Robust Features Motion History Image (SURF-MHI). This paper uses the criteria of repeatability...
In this paper we present a supervised method of image segmentation based on the statistic approach expressed in an hybrid space constituted by the three relevant chromatic level deduced by histogram analysis approach, this technique may the possibility of adapting the treatments to the local context of image with a little priori knowledge. This method has been applied on colour images issued from...
In this paper we present a new approach for tracking movements of human body in dynamic scenes. The body is characterized by a set of points of interest (PI) issued from Harris corner detector where every one is characterized by its local appearance and its position in each frame of the video sequence. Tracking is achieved by template matching between PI in a pair of consecutive frames in the sequence...
This paper presents a new classification method of the various cereal grains varieties. The first phase consists in generating primitives using the wavelet techniques. These primitives are tested by a statistical study and validation tests to extract the deterministic parameters. The second part consists in developing a neuronal classifier designed using the multilayer neural networks to classify...
To refine their strategy of play such as football, handball, volley ball, Rugby, the coach need to have a maximum of technico-tactics information about the on-going of the game and the players. We propose in this paper a variety of algorithms contributing to the resolution of the major problem appearing in the automation of team identification to which each player belongs relying on visual data provided...
In this paper we develop a new method for robust predictive control for MISO systems represented on the generalized orthonormal basis functions. Unknown but bounded error approaches are used to update the uncertainty domain of the resultant model coefficients. This method uses a worst case strategy solved by a min-max optimisation problem taking into account the constraints relative to parameter uncertainties...
Processes of color image segmentation are crucial for the image interpretation. Thus, many techniques give very good results. However it is relatively difficult to standardize the segmentation algorithm by considering the variability between images: a limit of segmentation performance. In this paper, our goal is to present a method of inter-images variability reduction, by using the colorimetric context...
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