In an intelligent surveillance system, object tracking provides better sense of security using visual information. Hence, the main purpose of this work is to develop an object motion detection system that detected the presence of motion in video sequences. The proposed system employed background modelling and image differential techniques to isolate the motion objects from its background. Addit...

MOVING OBJECT DETECTION, TRACKING AND CLASSIFICATION FOR SMART VIDEO SURVEILLANCE Yiğithan Dedeoğlu M.S. in Computer Engineering Supervisor: Assist. Prof. Dr. Uğur Güdükbay August, 2004 Video surveillance has long been in use to monitor security sensitive areas such as banks, department stores, highways, crowded public places and borders. The advance in computing power, availability of large-ca...

the Vehicle detection is used to identify the vehicles in any video or image file. The process of detection of vehicles includes the object detection by considering the vehicles as the primary object. By taking the images form aerial or horizontal view and from road or parking using surveillance cameras, the detection process can be initiated. In this paper, authors proposed a novel algorithm t...

The emergence of video surveillance is the most promising solution for people living independently in their home. Recently several contributions for video surveillance have been proposed. However, a robust video surveillance algorithm is still a challenging task because of illumination changes, rapid variations in target appearance, similar nontarget objects in background, and occlusions. In th...

Motion detection is a basic operation in the selection of significant segments of the video signals. For an effective Human Computer Intelligent Interaction, the computer needs to recognize the motion and track the moving object. Here an efficient neural network system is proposed for motion detection from the static background. This method mainly consists of four parts like Frame Separation, R...

Motion detection is the essential process in the extraction of information from moving objects in automatic video surveillance system. In this work, a novel and accurate approach is used to detect moving object from video. It contains two phase background matching techniques such as rapid matching and accurate matching for background modelling. The rapid matching technique is used to quickly fi...

introduction automated methods for sperm characterization in microscopic videos have some limitations such as: low contrast of the video frames and possibility of neighboring sperms to touch each other. in this paper a new method is introduced for detection of sperms in microscopic videos. materials and methods in this work, first microscopic videos are captured from specimens of human semen. s...

Moving shadows need careful consideration in the development of robust dynamic scene analysis systems. Moving shadow detection is critical for accurate object detection in video streams, since shadow points are often misclassified as object points causing errors in segmentation and tracking. Many algorithms have been proposed in the literature that deal with shadows. However, a comparative eval...

We propose a novel object detection and tracking method in order to detect and track objects necessary to describe contents of a soccer game. On the contrary to intensity oriented conventional object detection methods, the proposed method refers to color rarity and local edge property, and integrally evaluate them by a fuzzy function to achieve better detection quality. These image features wer...

Moving object segmentation in compressed domain plays an important role in many real-time applications, e.g. video indexing, video transcoding, video surveillance, etc. Because H.264/AVC is the up-to-date video-coding standard, few literatures have been reported in the area of video analysis on H.264/AVC compressed video. Compared with the former MPEG standard, H.264/AVC employs several new cod...