Salient object detection is an interesting subject in the field of video tracking and its applications. The main purpose of salient object detection is to estimate the position of the object in images in a continuous manner and reliably against dynamic scenes. When object is moving then its detection is a challenging task in much vision area. Two tasks are performed to detect salient object, in...

Human body detection, which has become a research hotspot during the last two years, can be used in many video content analysis applications. This paper investigates a fast human detection method for volume based video event detection. Compared with other object detection systems, human body detection brings more challenge due to threshold problems coming from a wide range of dynamic properties...

This paper presents an All-in-One video analytics system, a compact, multi-channel, real-time, video monitoring, event detection, alarm notification, event recording and browsing solution implemented on low cost hardware, taking advantage of NVIDIA's GPU CUDA platform. An inventive distribution of video object detection and tracking processing chain between the GPUs and the CPU provides maximum...

------------------------------------------------ABSTRACT---------------------------------------------------------Object detection and tracking are the tasks that are important and challenging in various computer vision applications such as surveillance, vehicle navigation, and autonomous robot navigation. Video surveillance works in a dynamic environment, especially for humans and vehicles. It ...

Title of Thesis: SHADOW DETECTION IN VIDEOS ACQUIRED BY STATIONARY AND MOVING CAMERAS Antonio Trias, Master of Science, 2005 Thesis directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering Shadow Detection has become a key issue in object detection, tracking and recognition problems. Object appearances might be completely changed by the effects of shading and shad...

We propose a new object classification approach for monocular video sequences, which allows to classify objects modelled independently from the camera position and object orientation. To achieve this independence, a simple 3D object model that represents an object as a parallelepiped is proposed. The approach is able to give good estimates of object dimensions and proposes visual reliability me...

In recent years, video surveillance systems for the purpose of security have been developed rapidly. More and more researches try to develop intelligent video surveillance systems to replace the traditional passive video surveillance systems (Hu et al., 2004) and (Jacobs & Pless, 2008). The intelligent video surveillance system can detect moving objects in the initial stage and subsequently pro...

We present a general framework and method for simultaneous detection and segmentation of an object in a video that moves (or comes into view of the camera) at some unknown time in the video. The method is an online approach based on motion segmentation, and it operates under dynamic backgrounds caused by a moving camera or moving nuisances. The goal of the method is to detect and segment the ob...

Moving object target detection has a significant interest in image analysis. Frames are extracted from the real-time video, and from this image the required target is detected. This paper presents a contour-based object tracking using the spatial information. The image is applied for multiple segmentations to partition the image into simpler segments. Then automatic identification is done using...

In a video surveillance system, moving object detection is the most challenging problem especially if the system is applied in complex environments with variable lighting, dynamic and articulate scenes, etc.. Furthermore, a video surveillance system is a real-time application, so discouraging the use of good, but computationally expensive, solutions. This paper presents a set of improvements of...