In this project we present the concept of effective classification for background subtracted videos by using learning classifier-feed forward neural network with back propagation to conquer the open problem in the context of the complex scenarios.eg:while picturing the videos in some application like cloudy (or) misty areas the object in video will be less clarity with naked eye even after the ...

vertebral anomalies may also distort the normal regional or global spinal alignment and necessitate some therapeutic interventions. hemiepiphysiodesis is a traditional procedure usually described for these young patients but in more severe cases some type of osteotomy seems to be necessary. in this technical note, we describe a 5-year-old boy with failed previous hemiepiphysiodesis surgery, who...

This paper presents the algorithm for enhancing the low quality images and videos. As during the night, the traffic is not clear from which any information can be gain. So to make these images and videos more informative the high quality background is provided to the night time video. The new technique called Frame Subtraction Based fusion (FSB) is described in detail. The proper video result i...

In this paper, we have presented a novel tracking method aiming at detecting objects and maintaining their label/identification over the time. The main key factors of this method are to use depth information and different strategies to track objects under various occlusion scenarios. The foreground objects are detected and refined by background subtraction and shadow cancellation. The occlusion...

Foreground-Background Segregation has been intensively researched in the last decades as it is an important first step in many Computer Vision tasks. Nonetheless, there are still many open questions in this area and in this paper we focus on a special surveillance scenario where a static camera monitors a predefined region. This restrain makes some aspects easier and good results could be achie...

We present a scalable object tracking framework, which is capable of removing shadows and tracking the people. The framework consists of background subtraction, fuzzy based shadow removal and boundary tracking algorithm. This work proposes a general-purpose method that combines statistical assumptions with the object-level knowledge of moving objects, apparent objects, and shadows acquired in t...

In order to measure the velocity of a missile, several models have been discussed in this paper. It deals with the tracking and following of single/multiple missile in a sequence of frames and the velocity of the missile is determined. Algorithms have been developed for improving the image quality, segmentation, background subtraction, feature extraction and determining the velocity. Segmentati...

Object detection is always the first important step in video surveillance applications. This paper presents an automated moving object detection technique using background subtraction method. First, a background module generated from the video sequence effectively. Furthermore, the moving objects are detected by comparing current and background frame. Many background subtraction approaches are ...

An algorithm of surveillance video synopsis is presented in this paper. At first, the detection method of moving object for surveillance video is proposed. Then the ROI (Region of Interest) of moving object is extracted and a noninteractive matting algorithm of moving object based on GrabCut is presented. These matting moving objects are placed without overlapping in a background image, so a fr...