Abstract: At least one embodiment of a method for setting camera parameters of a camera, the method comprising: obtaining a first set of image characteristic values of images captured by the camera at a first lighting condition, the image characteristics being dependent on the camera parameters, at least two image characteristic values of the first set respectively corresponding to at least two different values of a same camera parameter; determining at least one second set of image characteristic values by adapting values of the obtained first set of image characteristic values from images captured by the camera at at least one second lighting condition, at least two image characteristic values of the second set respectively corresponding to at least two different values of a same camera parameter; selecting camera parameter values, based on the determined at least one second set of image characteristics; and modifying settings of the camera as a function of the selected values.

Abstract: According to some embodiments of the disclosure, it is provided a method of communication in an intelligent transport system, ITS, comprising at an ITS test station, sending to an ITS station, ITS-S, under test, SUT, different from the ITS test station, a request to report perception of objects within an area deemed to be monitored by the SUT, the request comprising items of information characterizing objects that perception is to be reported. In response to the request, an ITS message generated by the SUT is received, the ITS message comprising information directed to perception of objects as requested. Based on the received ITS message, it may be determined whether the SUT is misbehaving.

Abstract: According to some embodiments of the disclosure, it is provided a method of communication in an intelligent transport system, ITS, comprising at an ITS station, ITS-S, receiving a request to perform a perception measurement, the received request comprising a reference to at least one target object located in an area monitored by the ITS-S. In response, after having carried out a measurement of one or more attributes of the at least one referenced target object, an ITS message including items of information characterizing the one or more measured attributes of the at least one referenced target object is transmitted.

Abstract: At least one embodiment of a method for setting camera parameters of a camera, the method comprising: obtaining a first set of image characteristic values of images captured by the camera at a first lighting condition, the image characteristics being dependent on the camera parameters, at least two image characteristic values of the first set respectively corresponding to at least two different values of a same camera parameter; determining at least one second set of image characteristic values by adapting values of the obtained first set of image characteristic values from images captured by the camera at at least one second lighting condition, at least two image characteristic values of the second set respectively corresponding to at least two different values of a same camera parameter; selecting camera parameter values, based on the determined at least one second set of image characteristics; and modifying settings of the camera as a function of the selected values.

Abstract: At least one embodiment of a method of auto-setting a video content analysis module configured to analyse representation of predetermined targets in images of a scene captured by a video-camera, the method comprising: obtaining a quality indicator of images captured by the video-camera, the quality indicator being determined as a function of the video content analysis module; obtaining characteristics of representations of the predetermined targets in images of the scene captured by the video-camera; and for each setting of a set of settings of the video content analysis module, estimating a performance indicator of the video content analysis module according to the considered setting, the performance indicator being determined as a function of at least the obtained quality indicator and the obtained characteristics; based on the estimated performance indicators, selecting a setting for the video content analysis module; and setting the video content analysis module according to the selected setting.

Abstract: A method of encoding video data comprising pictures into a bitstream of logical units, pictures being divided into picture portions, picture portions being grouped into picture portion groups, the method comprising: identifying a picture portion group encoded as a picture portion group header and a picture portion group encoded video data, the picture portion group header comprising at least one identifier of a logical unit containing a parameter set; generating rewriting information comprising a new value of the identifier of the logical unit containing the parameter set; and encoding the video data into a bitstream comprising the picture portion group and the rewriting information.

Abstract: At least one embodiment of a method of controlling a video surveillance system, the video surveillance system comprising a video content analytics module and a video source, comprises: obtaining, by the video content analytics module, from the video source, video data comprising sequences frames, content of the video data comprising a representation of at least one object; analyzing at least a part of the video data in the video content analytics module to obtain video content analytics results; filtering the obtained video content analytics results to validate at least a subset of the video content analytics results, the validated video content analytics results forming a set of video content analytics reference results; and determining a value for at least one configuration parameter of the video surveillance system based on at least a portion of the video content analytics reference results.

Abstract: At least one embodiment of a method for setting camera parameters of a camera, the method comprising: obtaining a first set of image characteristic values of images captured by the camera at a first lighting condition, the image characteristics being dependent on the camera parameters, at least two image characteristic values of the first set respectively corresponding to at least two different values of a same camera parameter; determining at least one second set of image characteristic values by adapting values of the obtained first set of image characteristic values from images captured by the camera at at least one second lighting condition, at least two image characteristic values of the second set respectively corresponding to at least two different values of a same camera parameter; selecting camera parameter values, based on the determined at least one second set of image characteristics; and modifying settings of the camera as a function of the selected values.

Abstract: A method of setting values of camera settings of a camera, the method comprising determining a plurality of sets of objective image parameters values of images captured by the camera, the value of at least one camera setting being different for each set of objective image parameters; obtaining a trade-off value; determining for each set of objective image parameters values, a quality value and a resource consumption value; determining a value of the at least one camera setting optimizing a trade-off between the quality and the resource consumption according to the trade-off value based on the determined quality values and resource consumption values; and setting the value of the at least one camera setting to the determined value.

Abstract: A method for encoding video data into a bitstream of logical units, said video data comprising pictures, comprises: encoding into the bitstream a first picture belonging to a first layer in the form of a first set of logical units; encoding into the bitstream a second picture belonging to a second layer different from the first layer, at least a part of the second picture being configured to display at least a first part of the first picture, the encoding of the second picture comprising encoding a first reference between the at least first part of the first picture and at least one logical unit of the first set of logical units.

Abstract: A method for constructing a region of interest from images representing a same scene, the region of interest being used for setting the camera used to obtain the images and/or to process images obtained from the camera, the method including obtaining a plurality of images representing a same scene; detecting predetermined targets in images of the plurality of images; segmenting an area corresponding to the images of the plurality of images into portions of image, each of the portions being associated with a relevance indication for the corresponding portion to be selected as part of a region of interest; selecting at least one relevant portion among the portions, as a function of the relevance indications; upon detecting selection of a relevant portion, updating the relevance indication associated with relevant portions different than the selected relevant portions, as a function of the selected relevant portions; and constructing a region of interest based on the selected relevant portions.

Abstract: At least one embodiment of a method of auto-setting a video content analysis module configured to analyse representation of predetermined targets in images of a scene captured by a video-camera, the method comprising: obtaining a quality indicator of images captured by the video-camera, the quality indicator being determined as a function of the video content analysis module; obtaining characteristics of representations of the predetermined targets in images of the scene captured by the video-camera; and for each setting of a set of settings of the video content analysis module, estimating a performance indicator of the video content analysis module according to the considered setting, the performance indicator being determined as a function of at least the obtained quality indicator and the obtained characteristics; based on the estimated performance indicators, selecting a setting for the video content analysis module; and setting the video content analysis module according to the selected setting.

Abstract: At least one embodiment of a method for setting camera parameters of a camera, the method comprising: obtaining a first set of image characteristic values of images captured by the camera at a first lighting condition, the image characteristics being dependent on the camera parameters, at least two image characteristic values of the first set respectively corresponding to at least two different values of a same camera parameter; determining at least one second set of image characteristic values by adapting values of the obtained first set of image characteristic values from images captured by the camera at at least one second lighting condition, at least two image characteristic values of the second set respectively corresponding to at least two different values of a same camera parameter; selecting camera parameter values, based on the determined at least one second set of image characteristics; and modifying settings of the camera as a function of the selected values.

Abstract: At least one embodiment of a method of controlling a video surveillance system, the video surveillance system comprising a video content analytics module and a video source, comprises: obtaining, by the video content analytics module, from the video source, video data comprising sequences frames, content of the video data comprising a representation of at least one object; analyzing at least a part of the video data in the video content analytics module to obtain video content analytics results; filtering the obtained video content analytics results to validate at least a subset of the video content analytics results, the validated video content analytics results forming a set of video content analytics reference results; and determining a value for at least one configuration parameter of the video surveillance system based on at least a portion of the video content analytics reference results.

Abstract: A method for constructing a region of interest from images representing a same scene, the region of interest being used for setting the camera used to obtain the images and/or to process images obtained from the camera, the method including obtaining a plurality of images representing a same scene; detecting predetermined targets in images of the plurality of images; segmenting an area corresponding to the images of the plurality of images into portions of image, each of the portions being associated with a relevance indication for the corresponding portion to be selected as part of a region of interest; selecting at least one relevant portion among the portions, as a function of the relevance indications; upon detecting selection of a relevant portion, updating the relevance indication associated with relevant portions different than the selected relevant portions, as a function of the selected relevant portions; and constructing a region of interest based on the selected relevant portions.

Abstract: A method of setting values of camera settings of a camera, the method comprising determining a plurality of sets of objective image parameters values of images captured by the camera, the value of at least one camera setting being different for each set of objective image parameters; obtaining a trade-off value; determining for each set of objective image parameters values, a quality value and a resource consumption value; determining a value of the at least one camera setting optimizing a trade-off between the quality and the resource consumption according to the trade-off value based on the determined quality values and resource consumption values; and setting the value of the at least one camera setting to the determined value.

Abstract: The present invention relates to determining a trajectory of a target from two streams of images obtained from two sources of images, a sub-image of each of the images of the two streams of images representing an overlapping area of a real scene. After having obtained a target path for each of a plurality of targets, from images of the sources of images, for each of the two streams of images, each target path being obtained from a target tracker associated with a source of image, each of the obtained target paths is split into a plurality of target path portions as a function of each potential target switch along the obtained target path. Then, the trajectory is generated as a function of a plurality of the target path portions.

Abstract: A sound source separation method comprising the steps of determining at least one location of at least one sound source based on video data, determining initial estimates of at least two parameters characterizing an audio signal emitted by said sound source, said initial estimates being determined based on said at least one location, performing an expectation-maximization method for determining final estimates of said parameters, and separating the audio signal from a combination of audio signals based on said final estimates of said parameters.

Abstract: The present disclosure relates to processing images representing a real scene, the images comprising at least two images obtained from at least two sources of images, a sub-image of each of the at least two images representing an overlapping area of the real scene. A role map comprising a plurality of parts, all the points of each part of the role map being associated with a single identifier of a source of images, is generated during a training phase. To process the images, parts of the role map are selected as a function of an identifier of a considered source of images, and sub-images of an image obtained from the considered source of images are processed, the processed sub-images corresponding to the selected parts of the role map.

Abstract: The present invention relates to determining a trajectory of a target from two streams of images obtained from two sources of images, a sub-image of each of the images of the two streams of images representing an overlapping area of a real scene. After having obtained a target path for each of a plurality of targets, from images of the sources of images, for each of the two streams of images, each target path being obtained from a target tracker associated with a source of image, each of the obtained target paths is split into a plurality of target path portions as a function of each potential target switch along the obtained target path. Then, the trajectory is generated as a function of a plurality of the target path portions.