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A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video representation suitable for anomaly detection in such scenes: (1) joint modeling of appearance and dynamics of the scene, and the abilities to detect (2) temporal, and (3) spatial abnormalities. The model for normal crowd behavior is based on mixtures...
In this work, we propose a feedback scheme for simultaneous thermal-visible video registration, sensor fusion, and tracking for online video surveillance applications. The video registration is based on a RANSAC trajectory-to-trajectory matching that estimates an affine transformation matrix that maximizes the corresponding trajectory points and overlapping of foreground thermal and visible pixels...
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among many difficulties, problems caused by illumination variations and dynamic backgrounds are the key aspects. In this work, we develop an efficient background subtraction framework to tackle these problems. First, we propose a scale invariant local ternary pattern operator,...
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of patterns of activity rely on trajectories obtained from object detection and tracking systems, which are unreliable in complex scenes of crowded motion. We propose a mixture model representation of salient patterns of optical flow,...
Human detection and tracking is a primary focus for visual surveillance systems. However, current systems for human tracking are often complex and require vast amounts of computing resources. A reduction in complexity of the overall tracking system can be achieved by using a System of Systems (SoS) architecture. Once formed, a SoS architecture must achieve desirable levels of interoperability and...
With the rapid development of science and technology and with the continuous improvement of people's safe sense, Video Surveillance System has already been widely used in several fields, such as military affairs, production, daily life and so on. As the most basic and important part of Video Surveillance System, the detection of moving objects has been paid more attention. Therefore, this paper mainly...
Vehicle velocity estimation is an important aspect of intelligent transportation systems. Normally velocity is estimated using dedicated laser speed traps and Doppler radars. Recently, the use of cameras is becoming more common for the purpose of traffic surveillance and smart surveillance system. It is thus the aim of this paper to propose a method for vehicle speed estimation using these existing...
This paper aims at developing a flexible video analysis system that can be used in wide range of video surveillance applications as well as to detect the human being. The developed system is called here as Smart Video Analysis System. This SVAS is able to detect and track interested objects. It can also detect people and recognize their activities in an application environment, such as in a room,...
Recent research in video surveillance system has shown an increasing focus on creating reliable systems utilizing non-computationally expensive technique for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behaviour analysis and realistic human modelling. In order for the system to function, it requires robust method for detecting human...
This paper introduces an embedded architecture and the low-level video processing algorithms developed for an intelligent node that is a part of a distributed intelligent sensory network for surveillance purposes. In this paper, details of the architecture developed for this node are given, together with the low-level video processing algorithms used, as well as the results obtained after their implementation...
Surveillance videos are often compressed for transmission or storage. It is desirable to be able to perform automatic event detection in the compressed domain directly. In this paper, we investigate the use of motion trajectories for video activity detection in the compressed domain. We show that it is possible to extract reliable motion trajectories directly from compressed H.264 video streams. To...
This paper presents a method, the snake particle filter (SPF), for tracking targets in video sequences. Manual or semi-automated solutions are both expensive and susceptible to error. In the SPF algorithm, automated tracking is accomplished by combining the particle filter with the snake. Here we employ the snake to establish the target shape, which is used to assign the weight for each particle in...
Unmanned Aircraft Systems (UAS) have been used in many military and civilian applications, particularly surveillance. One of the best ways to use the capacity of a UAS imaging system is by constructing a mosaic of the recorded video. In this paper, we present a novel algorithm to calculate a super-resolution mosaic for UAS, which is both fast and robust. In this algorithm, the features points between...
Disjoint inter-camera object tracking is the task of tracking objects across video-surveillance cameras that have non-overlapping views. Unlike the closely related task of single-camera tracking, disjoint inter-camera tracking is difficult due to the gaps in observation as an object moves between camera views. To overcome this problem, appearance profiles of the objects seen in each camera are built...
In this paper, we describe a system that is capable of detecting and segmenting objects from video frames which helps in traffic surveillance. Shadow is one of the problems faced by most of the object detection systems. It will affect the result of object detection and segmentation. Hence a shadow removal method is applied in the preprocessing phase of the system to amplify the accuracy of detection...
This paper presents a novel human detection algorithm embedded into a thermal imaging system to form a fast and effective trespasser detection system for smart surveillance purpose. To identify a human object, pattern recognization technique is employed where human head is detected and analyzed for its shape, dimension and position. The experimental result shows that the proposed trespasser detection...
This paper proposes an efficient omnidirectional surveillance system for health care purposes. The proposed surveillance system is used to detect fainted person at health care centers such as old folk's home, hospital, and handicapped center and is located at the place with good light condition. When a fainted person is detected, it send immediate signal and thus alerts/treatments can be carried out...
Here, a novel and efficient feedback system for moving object segmentation and tracking is proposed. Through the use of non-parametric background-foreground modeling, moving objects are correctly detected in unfavorable situations such as dynamic backgrounds or illumination changes. After detection, objects are tracked by an original multi-object Bayesian tracking algorithm, which achieves satisfactory...
Motion segmentation is an important task in video comprehension and object based video coding. This paper proposes a fast motion segmentation algorithm based on hypothesis test. At first, statistical model of camera noise is obtained offline. Then, pixels are classified into the moving and still by hypothesis test and a binary mask image is generated. Median filtering is used further to remove isolated...
The system uses video processing chip SPV311A with a 3D motion compensation feature as a video-digital converter chip, while using dedicated 3D video decoder chip SPV516 decoding. So that the system not only has good static image processing effects, a more desirable effect of 3D motion compensation, enabling a variety of noise down to an ideal level. In order to provide better display effect, the...
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