Bull Sas

Cécile Boukamel-Donnou

Benoit Pelletier

Benoît Pelletier

Nicolas Arnaise

Rémi Druihle

Loris Bouzonnet

Baptiste Metge

Edoh Kodjo

Rémi Druilhe

Bénoit Pelletier

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.

Method for assisting real-time monitoring of at least one person on sequences of images

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.

Electronic device for identifying and tracking at least one target, associated electronic system, method and computer program

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.

Method for video surveillance of the crossing of a line by people, associated computer program and device

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.

Method for identifying a person in a video, by a visual signature from that person, associated computer program and device

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.

Growing community of inventors

Échirolles, France

Cécile Boukamel-Donnou