• Jyoti
• Amit Chhabra

Video analysis is one of the key aspects associated with applications like accident detection, abnormal activities detection, moving vehicles detection etc. this paper represent pre-analysis and tangent based approach for detection of moving object within a frame. The frame analysis using static frames is accomplished using mean framing mechanism. The problems of this mechanism is highlighted and changes in terms of pre-processing by improving color contrast levels using color scaling scheme. After color enhancement, tangent motion detection mechanism is applied to extract the object from moving frames correctly. The first step in the video processing is to convert the observed into set of frames. The frames are then fed into the system of tangent based bounding box in order to eliminate the extra pixels and stabilised the intensities levels. After the intensities levels are stabilised, motion detection within the video frames begin. The tangent based mechanism observe the slopes within the intensities. In case intensities slope indicates through tan(theta) is noted within .mat file. In case slope is greater than 1, motion within the video frame is detected. The comparative analysis of tangent based approach and tangent based bounding box is presented to determine the best possible approach. Overall result is presented in the form of peak signal to noise ratio and classification accuracy

Mean framing, color scaling, tangent motion detection, PSNR, classification accuracy

"comparative performance evaluation of video analytics techniques using pre-processing and tangent based approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.111-118, May-2019, Available :http://www.jetir.org/papers/JETIR1905N18.pdf

"comparative performance evaluation of video analytics techniques using pre-processing and tangent based approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp111-118, May-2019, Available at : http://www.jetir.org/papers/JETIR1905N18.pdf