Abstract: A video based method to detect volatile organic compounds (VOC) leaking out of components used in chemical processes in petrochemical refineries. Leaking VOC plume from a damaged component causes edges present in image frames to loose their sharpness, leading to a decrease in the high frequency content of the image. Analysis of image sequence frequency data from visible and infrared cameras enable detection of VOC plumes in real-time. Analysis techniques using adaptive background subtraction, sub-band analysis, threshold adaptation, and Markov modeling are described.

Abstract: A video based method to detect volatile organic compounds (VOC) leaking out of components used in chemical processes in petrochemical refineries. Leaking VOC plume from a damaged component causes edges present in image frames to loose their sharpness, leading to a decrease in the high frequency content of the image. Analysis of image sequence frequency data from visible and infrared cameras enable detection of VOC plumes in real-time. Analysis techniques using adaptive background subtraction, sub-band analysis, threshold adaptation, and Markov modeling are described.

Abstract: A method and system for characterizing the motion of moving objects in video is disclosed. The video can be either compressed or uncompressed form. A typical video scene contains foreground and background objects. Foreground objects temporarily stay in the video. However, a left object or stopped object becomes part of the background scene and remains in the video forever. A plurality of images is inputted to the system in time series. A method and system determines left objects or stopped objects by comparing the background image estimated from the current image of the video with the background estimated from previous images of the video. Difference between the current and previous background images indicates a left or stopped object. Other objects, which do not modify the background image are determined as transitory objects. Background scene of a video can be estimated using the compressed video data as well.