The detection of moving object is important in many tasks, such as video surveillance and moving object tracking. Although there are some methods for the moving object detection, it is still a challenging area. In this paper, a new method which combines the Kirsch operator with the Optical Flow method (KOF) is proposed. On the one hand, the Kirsch operator is used to compute the contour of the ...

Shadows can be occurred when an object partially or totally obstructs direct light from a source of illumination. Shadows have their-own merits and demerits. Sometimes it will provide useful information about objects. But the presence of shadows may reduce the reliability of many computer vision algorithms, including segmentation, object detection, tracking, etc. Therefore, to improve the perfo...

Object tracking is very essential task in many application of computer vision such as surveillance, vehicle navigation, autonomous robot navigation, etc. It contains detection of interesting moving objects and tracking of such objects from frame to frame. Its main task is to find and follow a moving object or multiple objects in image sequences. Normally there are three stages of video analysis...

Aimed at the shortcomings of the traditional video monitoring system, human detection method in intelligent video monitoring system was researched. This paper proposed a human detection method based on motion object extraction and head–shoulder feature to complete human detection and statistics in video image sequences. Firstly, background subtraction based on adaptive threshold was used to ext...

In this paper, it is proposed that edge detection using weighted coefficients ratio (WCR) video object segmentation algorithm based on discrete wavelet transform (DWT). The proposed method is applied DWT to two successive frames. Also, we utilize detection method with different thresholds in four wavelet sub-bands and make the map of boundary using Prewitt edge operator in wavelet domain. As mi...

This paper is concerned with the determination of the traveling speed of a moving object of a video clip based on subsequent object detection techniques. After preprocessing of the original image sequence, which is sampled from the video camera, the target moving object is detected with the improved algorithm in which the moving object region can be extracted completely through several processi...

Object extraction from video is one of the most important areas of video processing in which objects from video sequences are extracted and used for many applications such as surveillance systems. This thesis describes the theoretical bases, development and testing of moving object detection framework. Many systems uses motion and color information to detect the moving object from the video seq...

Video object detection is challenging because objects that are easily detected in one frame may be difficult to detect in another frame within the same clip. Recently, there have been major advances for doing object detection in a single image. These methods typically contain three phases: (i) object proposal generation (ii) object classification and (iii) post-processing. We propose a modifica...

Object segmentation from a video stream is an essential task in video processing and forms the foundation of scene understanding, object-based video encoding (e.g. MPEG4), and various surveillance and 2D-topseudo-3D conversion applications. The task is difficult and exacerbated by the advances in video capture and storage. Increased resolution of the sequences requires development of new, more ...

The ultimate goal of this study is to afford enhanced video object detection and tracking by eliminating the limitations which are existing nowadays. Although high performance ratio for video object detection and tracking is achieved in the earlier work it takes more time for computation. Consequently we are in need to propose a novel video object detection and tracking technique so as to minim...