Abstract:
The present invention provides a system and method for processing sequence of image frames captured through an imaging device, the imaging device includes an accelerometer. The system and method comprise an adaptive temporal background subtraction unit and a dynamic foreground object estimation unit for evaluating whether each pixel is either a moving object pixel or a non-moving object pixel based on the classification of the pixels between the first motion map and the second motion map generated thereon.
Abstract:
A method for extracting foreground objects of a currently observed image is provided herewith. The method comprises segmenting background objects of a previously observed image into regions of homogeneous brightness and setting initial threshold values for each segmented regions to initialize a background image information that includes background image and initial threshold values of the currently observed image, subtracting the currently observed image from the background image information and thresholding the image difference using the initial threshold values to extract foreground of the currently observed image, and comparing the foreground of the currently observed image against foreground of the previously observed image to update the initial threshold values of the background image information.
Abstract:
The present invention provides a method for processing videos captured through a stereo camera, the videos having a plurality of frames, each frames includes at least a left and a right images. The method includes acquiring videos captured by the pair of stereo cameras (101) and acceleration information of the stereo camera (101) detected through the accelerometer (102); extracting feature points in the right and left images of a current frame; matching the feature points between the right and left images, wherein disparity value of each feature point is computed; clustering the feature points on a current frame into one or more clouds based on their appearance and distance; determining a correspondence between the clouds of the current frame and previous frame; classifying the clouds through estimating statistical disparity distribution of each cloud to identify if the respective clouds are new clouds, existing clouds or unknown clouds; and merging the clouds that are determined to be a same object based on the tracking information and changes of disparity of the clouds over time. A system carrying out the above method is also provided herein.
Abstract:
The present invention relates to a surveillance system having a method for tampering detection and correction. The surveillance system is able to detect tampering of the camera view and thereon, adjust its video analytics configuration parameters to perform video analytics even though the orientation of the camera (10) has been changed as long as a partial of the ROI is within the tampered camera view. The surveillance system comprises of at least one camera (10), a video acquisition module (20), a storage device (30), an image processing module (40), a display module (50) and a post detection module (60).