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 for setting parameters values of a video source device comprising obtaining a value of an image characteristic for a current image generated by the video source device set with initial parameters values; determining a satisfaction level for the image characteristic of the current image based on the obtained value, the satisfaction level representing a probability to fulfil a task; obtaining a set of candidates, a candidate being defined as a set of parameters values; for each candidate, predicting an evolution of the satisfaction level for the image characteristic relatively to the satisfaction level determined while the video source device is set with the initial parameters values; selecting a candidate based on its predicted evolution of the satisfaction level; setting the parameters values of the video source device using the set of parameters values of the selected candidate.

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 for setting parameters values of a video source device comprising obtaining a value of an image characteristic for a current image generated by the video source device set with initial parameters values; determining a satisfaction level for the image characteristic of the current image based on the obtained value, the satisfaction level representing a probability to fulfil a task; obtaining a set of candidates, a candidate being defined as a set of parameters values; for each candidate, predicting an evolution of the satisfaction level for the image characteristic relatively to the satisfaction level determined while the video source device is set with the initial parameters values; selecting a candidate based on its predicted evolution of the satisfaction level; setting the parameters values of the video source device using the set of parameters values of the selected candidate.

Abstract: At least one embodiment of a method of setting a module of a set of image acquisition and processing modules in a video system, the modules sharing one same resource, the method comprising: obtaining, for each module, a score function depending on an efficiency value to perform a task to which the module is assigned, a level of consumption of the resource, and a trade-off value characterizing the importance of the efficiency of performing a task relative to resource consumption, determining an updated value of the trade-off value of the resource, so that the resource consumption level reaches a threshold; identifying settings of the module optimizing a result of the score function of the module when considering the updated trade-off value; and setting the module according to the identified settings.

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 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 setting a module of a set of image acquisition and processing modules in a video system, the modules sharing one same resource, the method comprising: obtaining, for each module, a score function depending on an efficiency value to perform a task to which the module is assigned, a level of consumption of the resource, and a trade-off value characterizing the importance of the efficiency of performing a task relative to resource consumption, determining an updated value of the trade-off value of the resource, so that the resource consumption level reaches a threshold; identifying settings of the module optimizing a result of the score function of the module when considering the updated trade-off value; and setting the module according to the identified settings.

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: The present invention relates in particular to a method for re-identification of a target object in images obtained from several image sources, wherein each of the image sources obtains images representing an area associated with the corresponding image source. After having identified a target object in images obtained from one of a pair of image sources, a relative velocity of the target object in comparison with other objects previously identified in images obtained from the one of the pair of image sources is estimated. Then, based on the estimated relative velocity of the target object, a correspondence between the target object identified in images obtained from the one of the pair of image sources and a candidate object represented in images obtained from the other image source of the pair of image sources is established.

Abstract: A method of parametrizing a video surveillance system comprising a current video content analytics module, a reference video content analytics module, and a video streaming component, the reference video content analytics module having higher performance than the current video content analytics module, the current video content analytics module processing video data transmitted by the video streaming component, includes the steps of obtaining, by the current video analytics module, first video data having first characteristics and analysing the first video data so as to obtain a first performance value, obtaining, by the reference video content analytics module, second video data having second characteristics and analysing the second video data to obtain a second performance value, comparing the first performance value with the second performance value, and, adapting configuration parameters of the video surveillance system based on the comparison result.

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 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: 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.