Abstract: The present invention discloses an image processing apparatus and method and storage medium storing instructions. The image processing apparatus comprises a unit for acquiring a current video frame and a scene model based on an input video, a unit for updating visual element models in said scene model, which match with the visual elements in said current video frame, based on the visual elements in said current video frame, and a unit for updating visual element models in said scene model, which do not match with the visual elements in said current video frame, based on the visual elements in said current video frame and in the previous video frames thereof. According to the present disclosure, the whole scene model can vary immediately following the variation in the environment illumination.

Abstract: Acquiring a current image from an inputted video and a background model which comprises a background image and foreground/background classification information of visual elements; classifying the visual elements in the current image as foreground or background; determining similarity measures between the current image and groups in the background model, wherein visual elements in the current image are the visual elements in the current image which are classified as the foreground, wherein visual elements in the groups in the background model are the visual elements whose classification information is the foreground, and wherein the visual elements in the groups in the background model are the visual elements which neighbour to corresponding portions of the visual elements in the groups in the current image; and identifying whether the visual elements in the current image which are classified as the foreground are falsely classified or not according to the determined similarity measures.

Abstract: An image processing apparatus for acquiring a current video frame and a scene model based on an input video; determining, based on visual elements in the current video frame, visual element models in the scene model to be visual element models necessary to be corrected and visual element models unnecessary to be corrected; and correcting the visual element models necessary to be corrected based on reference visual element models, wherein the reference visual element models are visual element models in the scene model that are determined to be the visual element models unnecessary to be corrected based on each of the current video frame and its previous video frames, similarities among the appearance features of the reference visual element models and the visual element models necessary to be corrected in the previous video frames satisfy a predetermined condition.

Abstract: One of the aspects of the present invention discloses an image processing apparatus. The apparatus comprises: a unit configured to acquire a current image and a background image; a unit configured to detect a foreground object from the current image according to the background image; a unit configured to determine a first parameter according to luminance information of the foreground object in the current image and luminance information of portion corresponding to the foreground object in the background image, wherein the first parameter represents change degree of luminance direction of the portion corresponding to the foreground object from the background image to the foreground image; and a unit configured to identify whether the foreground object is a false foreground object or not according to the first parameter. According to the present invention, the accuracy of identifying the false foreground objects will be improved.

Abstract: An image processing apparatus for acquiring a current video frame and a scene model based on an input video; determining, based on visual elements in the current video frame, visual element models in the scene model to be visual element models necessary to be corrected and visual element models unnecessary to be corrected; and correcting the visual element models necessary to be corrected based on reference visual element models, wherein the reference visual element models are visual element models in the scene model that are determined to be the visual element models unnecessary to be corrected based on each of the current video frame and its previous video frames, similarities among the appearance features of the reference visual element models and the visual element models necessary to be corrected in the previous video frames satisfy a predetermined condition.

Abstract: The present invention discloses an image processing apparatus and method and storage medium storing instructions. The image processing apparatus comprises a unit for acquiring a current video frame and a scene model based on an input video, a unit for updating visual element models in said scene model, which match with the visual elements in said current video frame, based on the visual elements in said current video frame, and a unit for updating visual element models in said scene model, which do not match with the visual elements in said current video frame, based on the visual elements in said current video frame and in the previous video frames thereof. According to the present disclosure, the whole scene model can vary immediately following the variation in the environment illumination.

Abstract: Acquiring a current image from an inputted video and a background model which comprises a background image and foreground/background classification information of visual elements; classifying the visual elements in the current image as foreground or background; determining similarity measures between the current image and groups in the background model, wherein visual elements in the current image are the visual elements in the current image which are classified as the foreground, wherein visual elements in the groups in the background model are the visual elements whose classification information is the foreground, and wherein the visual elements in the groups in the background model are the visual elements which neighbour to corresponding portions of the visual elements in the groups in the current image; and identifying whether the visual elements in the current image which are classified as the foreground are falsely classified or not according to the determined similarity measures.

Abstract: One of the aspects of the present invention discloses an image processing apparatus. The apparatus comprises: a unit configured to acquire a current image and a background image; a unit configured to detect a foreground object from the current image according to the background image; a unit configured to determine a first parameter according to luminance information of the foreground object in the current image and luminance information of portion corresponding to the foreground object in the background image, wherein the first parameter represents change degree of luminance direction of the portion corresponding to the foreground object from the background image to the foreground image; and a unit configured to identify whether the foreground object is a false foreground object or not according to the first parameter. According to the present invention, the accuracy of identifying the false foreground objects will be improved.

Abstract: The present invention relates to the method for updating scene model and video surveillance. A method is provided for updating a scene model in a video which is composed of a plurality of visual elements, comprising: a classifying step for classifying the visual elements in a scene into stationary visual elements and moving visual elements according to their appearance change rates; a border determining step for determining borders from the scene according to a spatial distribution information of the stationary visual elements and the moving visual elements; and an updating step for updating the scene model according to the determined borders in said scene.

Abstract: The present invention relates to the method for updating scene model and video surveillance. A method is provided for updating a scene model in a video which is composed of a plurality of visual elements, comprising: a classifying step for classifying the visual elements in a scene into stationary visual elements and moving visual elements according to their appearance change rates; a border determining step for determining borders from the scene according to a spatial distribution information of the stationary visual elements and the moving visual elements; and an updating step for updating the scene model according to the determined borders in said scene.

Abstract: An information outputting apparatus for outputting a first information, and a second information including a plurality of information units, comprising: storage means operable to store an information classification library including a plurality of information units and a classification status for each of the information unit; classification means operable to determine the classification status of each information unit in the second information according to the information classification library; output means operable to synchronically output the first information and the information units in the second information based on the classification results in said classification means; and classification control means operable to change real time the classification status for at least one information unit in the information classification library while the first information is output.