www.ijoscience.com 1 Object Detection and Tracking in Real Time Environment With Different Colour Background in Euclidean Color Filter Trapti Mala Mishra 1 , Md. Amzad Quazi 2 1 PG Scholar, Electronics Engineering Department, Sagar Institute of Science & Technology, Bhopal, India 2 Assistant Professor, Electronics Engineering Department, Sagar Institute of Science & Technology, Bhopal, India Abstract- The innovation of moving item is imperative in numerous undertakings, for example, video reconnaissance and moving article following. In this paper, an audit has been made on a video reconnaissance situation with constant moving item identification and following. The configuration of a video observation framework is coordinated on programmed distinguishing proof of occasions of interest, particularly on following and arrangement of moving articles. The article following and discovery is utilized to set up a correspondence between items or article parts in continuous edges and to concentrate transient data about items, for example, direction, stance, speed and direction. Tracking is distinguishing the items outline by edge in video. It can be utilized as a part of numerous districts, for example, video reconnaissance, movement checking and individuals following. In static environment division of article is not complex. In element environment because of element ecological conditions, for example, brightening changes, shadows and waving tree limbs in the wind object division is a troublesome and noteworthy issue that should be taken care of well for a powerful visual observation framework. In this paper analysis of different colored object in different colored background with the help of Euclidean color filter and compare normal background with different lightening condition. In this work, we analysis the detection capability of filter in same color with different lightening condition background and find out the range of color detection by the filter. Index Terms— Color background, Euclidean Filter, Background Subtraction, Color Range. Introduction From many years the object tracking is a difficult task to perform in a complex environment, so that each algorithm has their own advantages and drawbacks. Any object tracking algorithm will contain errors which will ultimately cause a drift from the targeted object. The best algorithms should be used to decrease this drift such that the tracker is accurate over the time frame. In object tracking the main challenge that has to think about while the operating a tracker are when the background is similar to interested object or another object which are present in the scene. This observable fact is known as clutter. Except Cluttering similar appearance itself in the frame is also a challenging task in the frame plane due to following factors. A. VIDEO Video is a source that joins an arrangement of casings to frame Video is a source that joins a course of action of housings to outline a moving picture or we can say video is a recording of moving visual pictures. There is less time interval between edges we can use various perception system to get the video, for instance, propelled camera, CCTV Camera, other electronic rigging. These all rigging is used for the adjacent view of article and for security reason. Further we remove the housings from the recordings for the bare essential examination of the substance in the progression of pictures. We differentiate each packaging and the successor diagram for the area and taking after of thing using unmistakable frameworks and strategies. B. BACKGROUND SUBTRACTION Establishment subtraction is a broadly used methodology for perceiving moving articles in recordings from static cameras. Establishment subtraction system is on a very basic level used for the frontal region acknowledged. Where the frontal zone is removed for the further get ready, for instance, commotion clearing, morphology at center... C. COLOR-BASED CLASSIFICATION In the packaging groupings, shading is for the most part predictable under viewpoint changes and it is definitely not hard to make. Though shading is not for the most part applicable as the individual strategy for perceiving and taking after things, yet for the figuring shading is an alluring segment for achievement when