A method for tracking a target in a sequence of images representing a scene, said method comprising the following for each current image: ▪ a step of detecting objects in said scene, each detected object being characterised by a position and a dimension in said current image; ▪ a step of temporal association, the intention of which is to associate each object detected in said current image with an object detected in the preceding image of the sequence according to their respective positions in the images, each set of objects detected in a continuous series of images forming a tracklet, one of the tracklets being assigned to a first target; ▪ a step of determining a second target in said current image, the detected object best corresponding to a search area determined for a previous image of the sequence being assigned to said second target; ▪ a step of comparing the identity of the detected object assigned to said first target and the identity of the detected object assigned to said second target; ▪ a step of determining, in the event of different identities, the detected object best corresponding to the dynamics of a final target; ▪ a step of updating, in the event that said first target best corresponds to the dynamics of said final target, the search area for said current image on the basis of the position of said first target; ▪ a step of updating, in the event that said second target best corresponds to the dynamics of said final target, the search area for said current image on the basis of the position of said second target; and ▪ a step of searching for said final target in the search area for said current image by comparing zones of said current image to a reference model representing said final target. ▪ a step of detecting objects in said scene, each detected object being characterised by a position and a dimension in said current image; ▪ a step of temporal association, the intention of which is to associate each object detected in said current image with an object detected in the preceding image of the sequence according to their respective positions in the images, each set of objects detected in a continuous series of images forming a tracklet, one of the tracklets being assigned to a first target; ▪ a step of determining a second target in said current image, the detected object best corresponding to a search area determined for a previous image of the sequence being assigned to said second target; ▪ a step of comparing the identity of the detected object assigned to said first target and the identity of the detected object assigned to said second target; ▪ a step of determining, in the event of different identities, the detected object best corresponding to the dynamics of a final target; ▪ a step of updating, in the event that said first target best corresponds to the dynamics of said final target, the search area for said current image on the basis of the position of said first target; ▪ a step of updating, in the event that said second target best corresponds to the dynamics of said final target, the search area for said current image on the basis of the position of said second target; and ▪ a step of searching for said final target in the search area for said current image by comparing zones of said current image to a reference model representing said final target.