DETECTING SALIENT OBJECTS OF NATURAL SCENE IN A VIDEO’S USING SPATIO-TEMPORAL SALIENCY & COLOUR MAP

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SUHAS B. KHADAKE

Abstract

Detection of spatio temporal saliency is the main aim of this paper. It uses system where it utilizes the human eye perceptive action. This uses the signal coming from human eye, for detection of saliency, for that a large database are used (about 15000 frames). For Saliency detection two pathways are decided. This uses the data on the basis of same thing on images and in accordance similarity will be calculated. According to it visual summary data are used. It gives much amount of data, which gives a lot of research in computer vision and results are used for calculation of saliency. We have take the view of all method used for calculation of saliency. So by using the data of different method we develop a Novel method which will give best results of detection of saliency. Here technique used is calculation of saliency by using spatio temporal saliency and colour map of video or images. In this method number of experiment are in progress for saliency. This method has fast and robust result.

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How to Cite
SUHAS B. KHADAKE. (2021). DETECTING SALIENT OBJECTS OF NATURAL SCENE IN A VIDEO’S USING SPATIO-TEMPORAL SALIENCY & COLOUR MAP. JournalNX - A Multidisciplinary Peer Reviewed Journal, 2(08), 30–35. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/1070