DETECTION OF VISUAL SPATIO-TEMPORAL ANALYSIS USING SEQUENTIAL IMAGING
Degradation of artificial wastage may lead to some toxicity. The measurement of toxicity is difficult in case of gas and vapor inhalation. We demonstrate a model to sense the amount of toxicity by using video processing. The sensing method is thus useful to determine toxicity and harmfulness in the air (atmosphere) especially for environmental protection. The video processing technique focuses on analyzing and manipulating spatio-temporal variation in image sequences (video), the analysis of temporal occurrence captured by imagery in order to unveil temporal signals that are not easily visible in original data is processed later. We estimate the inherent properties of the sequential images and applied spatial low-pass filter to it. The resulting signal is amplified to obtain the fluctuations in the resettlement array and rendering back into the video will make more discernable to the eye. The proposed system detection and measurement results reached 95%.
environmental protection, toxicity, video processing.