Method and apparatus for monitoring scene detection

    公开(公告)号:US10929724B2

    公开(公告)日:2021-02-23

    申请号:US15924608

    申请日:2018-03-19

    Abstract: A method is provided for monitoring scene detection by an apparatus detecting scenes from among a set of possible reference scenes. It includes an assignment of an identifier to each reference scene, detection of scenes from among the set of possible reference scenes at successive instants of detection with the aid of at least one classification algorithm, and a sliding time filtering processing of these detected current scenes over a filtering window of size M, based on the identifier of each new detected current scene taken into account in the window and a confidence probability associated with this new detected current scene, the output of the filtering processing successively delivering filtered detected scenes.

    METHOD FOR ANALYZING A SET OF PARAMETERS OF A NEURAL NETWORK

    公开(公告)号:US20200175373A1

    公开(公告)日:2020-06-04

    申请号:US16680840

    申请日:2019-11-12

    Abstract: A method can be used with a neural network being implemented by a system having a computation unit coupled to a collection of memories. The method includes analyzing a set of initial parameters defining an initial multilayer neural network. The analyzing includes attempting to reduce an initial memory size of an initial parameter so as to obtain a set of modified parameters defining a modified neural network with respect to the initial network.

    METHOD FOR MANAGING A CONVOLUTIONAL COMPUTATION AND CORRESPONDING DEVICE

    公开(公告)号:US20220107990A1

    公开(公告)日:2022-04-07

    申请号:US17480639

    申请日:2021-09-21

    Abstract: In an embodiment a method for managing a convolutional calculation carried out by a calculation unit adapted to calculate output data on output channels from convolution kernels applied to input data blocks on at least one input channel, wherein calculations on each input data block correspond respectively to an output datum on an output channel, and wherein the calculations with each convolution kernel correspond to the output data on each output channel respectively includes identifying a size of a memory location available in a temporary working memory of the calculation unit, pre-loading in the temporary working memory a maximum number of convolution kernels storable at the size of the memory; and controlling the calculation unit to calculate a set of output data calculable from pre-loaded convolution kernels.

    Method and apparatus for real-time detection of a scene

    公开(公告)号:US10789477B2

    公开(公告)日:2020-09-29

    申请号:US15936587

    申请日:2018-03-27

    Abstract: A method for real-time detection of at least one scene by an apparatus, from among a set of possible reference scenes, includes acquiring current values of attributes from measurement values supplied by sensors. The method further includes traversing a path through a decision tree. The nodes of the decision tree are respectively associated with the attributes. The traversal considers at each node along the path, the current value of the corresponding attribute, so as to obtain at the output of the path, a scene from among the set of reference scenes. The obtained scene identifying which reference scene is the detected scene. The method further includes developing a confidence index (SC) associated with the identification of the detected scene.

    METHOD AND APPARATUS FOR REAL-TIME DETECTION OF A SCENE

    公开(公告)号:US20180293441A1

    公开(公告)日:2018-10-11

    申请号:US15936587

    申请日:2018-03-27

    Abstract: A method for real-time detection of at least one scene by an apparatus, from among a set of possible reference scenes, includes acquiring current values of attributes from measurement values supplied by sensors. The method further includes traversing a path through a decision tree. The nodes of the decision tree are respectively associated with the attributes. The traversal considers at each node along the path, the current value of the corresponding attribute, so as to obtain at the output of the path, a scene from among the set of reference scenes. The obtained scene identifying which reference scene is the detected scene. The method further includes developing a confidence index (SC) associated with the identification of the detected scene.

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