Abstract: A method for tracking a target in a sequence of images comprises: a step of detecting objects, a temporal association step, aiming to associate the objects detected in the current image with the objects detected in the previous image based on their respective positions, a step of determining a second target in the current image according to a search area determined for a previous image of the sequence, a step of determining the detected object that best corresponds to a dynamic of a final target, a step of updating the search area for the current image based on the position of the target that best corresponds to the dynamics of the final target, and a step of searching for the final target in the search area for the current image by comparing areas of the current image with a reference model representative of the final target.

Abstract: In the field of videosurveillance by calibrated cameras and locating objects of interest in images, a method uses, on the one hand, an initial presence map pCP1 modeling positions i in the scene and comprising, for each position i, a value pCP1(i) representative of the probability that an object is situated at position i considered, each value pCP1(i) being obtained a location criterion defined in an image space of the image acquisition system and, on the other hand, atoms Ai predetermined for each position i of the presence map pCP1, the atom Ai of a position i comprising, for each position j, a value Ai(j) representative of overlap between projection m?(i) in the image space of a three-dimensional model M?(i) placed at the position i and projection m?(j) in the image space of a three-dimensional model M?(j) placed at position j, each three-dimensional model being representative of an object.

Abstract: A method for tracking a target in a sequence of images comprises: a step of detecting objects, a temporal association step, aiming to associate the objects detected in the current image with the objects detected in the previous image based on their respective positions, a step of determining a second target in the current image according to a search area determined for a previous image of the sequence, a step of determining the detected object that best corresponds to a dynamic of a final target, a step of updating the search area for the current image based on the position of the target that best corresponds to the dynamics of the final target, and a step of searching for the final target in the search area for the current image by comparing areas of the current image with a reference model representative of the final target.

Abstract: In the field of videosurveillance by calibrated cameras and locating objects of interest in images, a method uses, on the one hand, an initial presence map pCP1 modeling positions i in the scene and comprising, for each position i, a value pCP1(i) representative of the probability that an object is situated at position i considered, each value pCP1(i) being obtained a location criterion defined in an image space of the image acquisition system and, on the other hand, atoms Ai predetermined for each position i of the presence map pCP1, the atom Ai of a position i comprising, for each position j, a value Ai(j) representative of overlap between projection m?(i) in the image space of a three-dimensional model M?(i) placed at the position i and projection m?(j) in the image space of a three-dimensional model M?(j) placed at position j, each three-dimensional model being representative of an object.