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Keeping the camera long time proper functioning without tamper is the fundamentally requirement of a video surveillance system. Traditional camera tamper detection is applied by surveillance system operators. It's large human resource consuming and inefficiency. In this paper, a SIFT-based automatic camera tamper detection algorithm for video surveillance is proposed. When camera tamper occurred,...
This letter correspondence exposes results of a simple and appropriate technique for tracking a moving person in a stream captured and stored in a suitable memory. This method is based on research of similar block only in the next frame or on the range of frames in the video sequence in question. The proposed process of tracking people in a single view from one static camera starts like any video...
When a video surveillance system tracks a specific object, it is very important to get quickly the information of the object through fast image processing. Usually one camera surveillance system for tracking the object made results in various problems such like occlusion, image noise during the tracking process. It makes difficulties on image based moving object tracking. Therefore, to overcome the...
The video surveillance market is increasingly moving toward cheaper, efficient, portable, and high resolution systems. A typical video surveillance system consists of several cameras, which issue warnings or initiate smart reactions according to the analysis results of the captured video data. Many algorithms in video surveillance systems assume fixed lighting conditions for the monitored area. The...
In surveillance and environmental monitoring applications, it is common to have millions of images of a particular scene. While there exist tools to find particular events, anomalies, human actions and behaviors, there has been little investigation of tools which allow more exploratory searches in the data. This paper proposes modifications to PCA that enable users to quickly recompute low-rank decompositions...
Zoom tracking plays an important role in camera tracking. It is always a challenge for camera calibration when the focal length becomes long, for the principal plane would move and rotate inevitably in the process of zoom. To deal with this problem, a new method is presented in this paper, in which we does not lay emphasis on the camera calibration itself, but focuses on the compensation to the extrinsic...
In a video surveillance network system constructed by multiple PTZ cameras, when the target access to one camera's FOV(field of vision) from another's, it is a key problem in this system to achieve reliable target relay tracking in a large and complex scene. This paper studies a method to determine multi-cameras' common relay area (RA) and FOV lines, presents a adaptive blocked rule of the tracking...
Video surveillance system is widely used in the current traffic monitoring system. Existing commercial image processing system works well in vehicle detection and tracking, but it has difficulties in vehicle classification if the camera is not calibrated. A priori camera calibration is used in many systems, which is a complicated process. In this paper, a very simple roadside camera calibration is...
Recent efforts show that it is possible to calibrate a surveillance camera simply from observing a walking human. This procedure can be seen as a special application of the camera self-calibration technique. Several methods have been proposed along this line, but most of them have certain restrictions, such as require the human walking at a constant speed, or require two orthogonal lines marked on...
In this paper we present a robust method for background subtraction from a fixed camera in video surveillance system. The background subtraction is an important part of object tracking and many algorithms have been proposed for decades. Mixture of Gaussian for those in this paper is very famous and used widely. We present the robust method that can adapt the background model to various situations...
Criminals often resort to camera tampering to prevent capture of their actions. Real-time automated detection of video camera tampering cases is important for timely warning of the operators. Tampering is generally done by obstructing the camera view by a foreign object, displacing the camera and changing the focus of the camera lens. In automated camera tamper detection systems, low false alarm rates...
In video surveillance applications, PTZ cameras can focus and analyze in details specific zones of the scene. In a computer supervised intrusion detection, a single PTZ camera is unable to visualize the entire scene at once. This article proposes an original solution to this problem, by using an additional spherical mirror. Besides the equations needed to control the PTZ camera, this article presents...
Intelligent solutions for video surveillance require reliable object features for robust tracking. Surveillance cameras are generally low resolution and hence impose restrictions on the ability to identify sufficient features and descriptors for effective tracking. In such applications, reliable estimate of the object height from a single uncalibrated camera can prove to be a very useful feature....
A system-level approach for indoor surveillance of objects using wireless sensor networks and Pan/Tilt camera is presented in this paper. The objects to be tracked carry a listener cricket mote and beacon motes are mounted on the ceiling. The time difference of arrival (TDoA) approach and multilateration are used to estimate the distance and position of the object, respectively. The small error in...
Air pollution of fine particles with diameters less than 10 micrometers (PM10) is a major concern in many countries due to their ability to penetrate further into our lungs to cause adverse health effects. PM10 also have a significant influence on climate change and visibility. Due to the high cost to set-up air pollution monitoring stations, there are limited numbers of these stations in use. As...
Video surveillance systems have been widely deployed in harbors or along coastlines. These systems provide a continuous surveillance of the transportation in a certain area, however, it??s difficult for the users to position a specific vessel and keep tracking it on these systems in an automatic way. To satisfy this requirement, this paper put forward a method of tracking a vessel by combining video...
Camera calibration, as a fundamental issue in computer vision, is indispensable in many visual surveillance applications. Firstly, calibrated camera can help to deal with perspective distortion of object appearance on image plane. Secondly, calibrated camera makes it possible to recover metrics from images which are robust to scene or view angle changes. In addition, with calibrated cameras, we can...
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