Abstract: A method and system for spatially arranging a plurality of video frames for display on a layout region is provided. The plurality of video frames are selected from a video sequence based on a determination of motion of an object within the video sequence. An image layout path is determined for the selected video frames. An anchor point is determined for each selected video frame based on a determination of motion of the object depicted in the video frame, each said anchor point locating a selected video frame with respect to the layout path. The selected plurality of video frames are spatially arranged on the layout region relative to the determined image layout path and in accordance with the determined anchor points.

Abstract: A computer implemented method of matching a tagged target group, selected from a plurality of gallery groups in a first camera field of view, with probe groups in a second camera field of view, by determining a group context for the tagged target group, determining, in the second camera field of view, probe contexts for the respective local probe groups in the second camera field of view; matching the group context against the probe contexts to produce respective similarity scores; and identifying based upon the similarity scores, the probe group that matches the tagged target group.

Abstract: A method and system for spatially arranging a plurality of video frames for display on a layout region is provided. The plurality of video frames are selected from a video sequence based on a determination of motion of an object within the video sequence. An image layout path is determined for the selected video frames. An anchor point is determined for each selected video frame based on a determination of motion of the object depicted in the video frame, each said anchor point locating a selected video frame with respect to the layout path. The selected plurality of video frames are spatially arranged on the layout region relative to the determined image layout path and in accordance with the determined anchor points.

Abstract: A computer implemented method of matching a tagged target group, selected from a plurality of gallery groups in a first camera field of view, with probe groups in a second camera field of view, by determining a group context for the tagged target group, determining, in the second camera field of view, probe contexts for the respective local probe groups in the second camera field of view; matching the group context against the probe contexts to produce respective similarity scores; and identifying based upon the similarity scores, the probe group that matches the tagged target group.

Abstract: A computer-implemented method performs foreground segmentation of an input image. The method receives a first foreground segmentation at a first resolution of the input image and determines a plurality of labelled seed points based on the first foreground segmentation of the input image. The method associates each of the plurality of pixels in the input image with one of the determined labelled seed points to obtain a second foreground/background segmentation of the input image, and performs foreground separation on the input image at a second resolution by classifying each of the segments of the second segmentation as one of foreground and background based on the label of the associated seed point.

Abstract: A computer-implemented method performs foreground segmentation of an input image. The method receives a first foreground segmentation at a first resolution of the input image and determines a plurality of labelled seed points based on the first foreground segmentation of the input image. The method associates each of the plurality of pixels in the input image with one of the determined labelled seed points to obtain a second foreground/background segmentation of the input image, and performs foreground separation on the input image at a second resolution by classifying each of the segments of the second segmentation as one of foreground and background based on the label of the associated seed point.

Abstract: Disclosed herein are a system and method for detecting tampering of a first camera in a camera network system, wherein the first camera is adapted to capture a portion of a scene in a field of view of the first camera. The method detects an occlusion of the scene in the field of view of the first camera and changes a field of view of a second camera to overlap with the field of view of the first camera. The method determines a difference between an image captured by the second camera of the changed field of view and a set of reference images relating to the field of view of the first camera. The method then detects tampering of the first camera based on the difference exceeding a predefined threshold.