Abstract: A method for monitoring a person of interest in video that may be generated by multiple cameras in different locations. A sequence of images along with data such as time and location, called a tracklet, may be generated for the person of interest. This reference tracklet may then be compared to other tracklets received at later times to determine if the person of interest appears in these other tracklets. Analyses may include locating persons in the video images, calculating person signatures, and comparing signatures to signatures of the person of interest. Analyses may also include filters for possible locations of the person of interest based on how quickly this person could move from one location to another, and filters based on color of the person of interest's clothing. Possible matches may be confirmed by an operator, while matches with high confidence may be automatically identified as the person of interest.

Abstract: The invention relates to a method for real-time multi-camera tracking of a target object comprising, for at least one new tracklet captured by at least one camera, calculating at least a first distance between the new tracklet and at least one reference tracklet belonging to the target object. The method also includes, when the smallest calculated first distance is between a first predetermined threshold value, called re-identification threshold, and a second predetermined threshold value, called human threshold, presenting the new tracklet to an operator, for the operator to assign or not assign the new tracklet to the target object, manually. The human threshold is a function of the number of reference tracklets in the reference list. The invention also relates to a computer program, to an object re-identification device and to an object re-identification system implementing such a method.

Abstract: An electronic device for identifying and tracking at least one target, including: a receiver module configured to receive images from a network of image sensors; a determination module configured to determine visual signatures of a respective target from the received images, each visual signature being determined from a respective image including a representation of the target, each visual signature being in the form of a vector in multi-dimensional space; a first filtering module configured to filter the visual signatures; a computation module configured to compute a reference visual signature, in multi-dimensional space; a detection module configured to detect an appearance of the target, and a second filtering module.

Abstract: The method includes for each of a plurality of successive images of a video stream from a camera, the search for at least one person present in the image and the definition, for each person found, of a zone in the image, known as person zone, surrounding this person at least partially; for each of at least one person, the grouping together into one tracklet of several person zones from successive images and surrounding this same person at least partially; for each tracklet: the identification of the person in this tracklet from person zones, the determination of a moment at which the line is crossed by the person identified from person zones and the addition of the name found and of the moment of crossing determined in at least some of the images containing the person zones.

Abstract: A method includes for each of a plurality of successive images in a camera video stream, searching for at least one person present in the image and defining, in the image, for each person found, a field, called person field, at least partially surrounding that person; for each of at least one person found, gathering into a track segment several person fields derived from successive images and at least partially surrounding that same person; for each track segment, identifying the person in that track segment, by a visual signature from that person, this identification including: for each person field in the track segment, determining a visual signature from the person in that track segment, called local visual signature; determining an aggregated visual signature from the local visual signatures; and identifying the person in that track segment from the aggregated visual signature.

Abstract: The invention relates to a method (100) for assisting real-time monitoring of a person of interest, implemented by computer, based on at least one sequence of images (104) of said person of interest, called reference tracklet, said method (100) comprising at least one iteration of the following steps: obtaining, in real time, at least one new sequence of images (108), called new tracklet, relating to a person; analysing said new tracklet (108), comprising the following steps carried out for at least one reference tracklet (104): calculating (112) a distance between a signature of said reference tracklet (104) and a signature of said new tracklet (108), when said distance is less than or equal to at least one predetermined threshold, automated filtering (114, 116) of said new tracklet (108) with at least one parameter relating to said reference tracklet (104); and when said new tracklet (108) satisfies said analysis step (114, 116), validating or not (117, 118) said new tracklet (108) as belonging to sai

Abstract: A surveillance system of at least one site including videosurveillance cameras, the surveillance system including at least one surveillance camera management module and an artificial neural network for predicting the location of a target in a zone supervised by a camera, connected to the surveillance camera management module, the predicting artificial neural network including a target information acquisition input including data for prediction including data for identifying the camera in which a target has been detected, for positioning the target in the output state. The predicting artificial neural network includes an output of at least one identification of a probable camera the target of which will be probably identified and the camera management module includes an output for transmitting the at least one identification of probable camera to a member including a screen.

Abstract: An electronic device for identifying and tracking at least one target, including: a receiver module configured to receive images from a network of image sensors; a determination module configured to determine visual signatures of a respective target from the received images, each visual signature being determined from a respective image including a representation of the target, each visual signature being in the form of a vector in multi-dimensional space; a first filtering module configured to filter the visual signatures; a computation module configured to compute a reference visual signature, in multi-dimensional space; a detection module configured to detect an appearance of the target, and a second filtering module.

Abstract: The present invention relates to a method of tracking a reference element (Eref) on images of an environment, the reference element (Eref) being associated with a list of reference visual signatures, the method comprising the steps of: reception of an image of the environment, detection of a first element on the received image, determination of a first visual signature for detection, calculation of a distance between the first visual signature and a reference visual signature, comparison of the calculated distance to a first threshold and a second threshold, identification of the first element as being the reference element, when the distance compared is less than or equal to the first threshold, the first element being unidentified when the distance compared is strictly greater than the second threshold.

Abstract: A method includes for each of a plurality of successive images in a camera video stream, searching for at least one person present in the image and defining, in the image, for each person found, a field, called person field, at least partially surrounding that person; for each of at least one person found, gathering into a track segment several person fields derived from successive images and at least partially surrounding that same person; for each track segment, identifying the person in that track segment, by a visual signature from that person, this identification including: for each person field in the track segment, determining a visual signature from the person in that track segment, called local visual signature; determining an aggregated visual signature from the local visual signatures; and identifying the person in that track segment from the aggregated visual signature.

Abstract: The method includes for each of a plurality of successive images of a video stream from a camera, the search for at least one person present in the image and the definition, for each person found, of a zone in the image, known as person zone, surrounding this person at least partially; for each of at least one person, the grouping together into one tracklet of several person zones from successive images and surrounding this same person at least partially; for each tracklet: the identification of the person in this tracklet from person zones, the determination of a moment at which the line is crossed by the person identified from person zones and the addition of the name found and of the moment of crossing determined in at least some of the images containing the person zones.

Abstract: A surveillance system of at least one site including videosurveillance cameras, the surveillance system including at least one surveillance camera management module and an artificial neural network for predicting the location of a target in a zone supervised by a camera, connected to the surveillance camera management module, the predicting artificial neural network including a target information acquisition input including data for prediction including data for identifying the camera in which a target has been detected, for positioning the target in the output state. The predicting artificial neural network includes an output of at least one identification of a probable camera the target of which will be probably identified and the camera management module includes an output for transmitting the at least one identification of probable camera to a member including a screen.