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Face recognition in video surveillance is challenging as there is no control on the quality of the face image captured especially under uncooperative situations with head pose variation, occlusion, and low-quality image. These issues create large discrepancy between probe and gallery images which affects the performance of recognition. To overcome these issues, pose correction is proposed to narrow...
Due to the sparse distribution of road video surveillance cameras, precise trajectory tracking for hit-and-run vehicles remains a challenging task. Previous research on vehicle trajectory recovery mostly focuses on recovering trajectory with low-sampling-rate GPS coordinates by retrieving road traffic flow patterns from collected GPS information. However, to the best of our knowledge, none of them...
Nowadays, there is a growing demand for automated video-based surveillance systems due to increase security concerns. Anomaly detection is a popular application in this area where anomalous events of interest are defined as observed behavior that stands out from its context in space and time. In this paper, we present an approach for the detection of anomalous motion based on the extraction of object-size...
There are many key device nodes in factory, in order to ensure these devices working in a safe and stable way, we need to monitor the status of this devices in real-time. The system based on the video surveillance and computer vision methods, to monitor real-time status of equipment and give some feedback to central control room automatically. The web camera site obtains the video information and...
This paper proposes a design of the procedure for interoperability between video surveillance systems and verifies whether these systems are interworked according to the designed interworking procedures. In order to verify the interworking procedure of video surveillance systems, we implemented interoperability verification monitoring system. Through implementation results, we prove that video surveillance...
The paper present the idea of an integrated video surveillance and access control system including controls and authorization at checkpoints, application controls for shift management, leave management, attendance, remote access and centralized backup management with converged IP network. The project is first of its kind being implemented in Bhutan to provide a layered security at critical locations...
Wireless Multimedia Sensor Networks (WMSN) are one of the emerging paradigms of the Internet of Things (IoT) that are used to retrieve content including scalar data, video and audio streams and still images from the physical environment. In contrast to scalar sensor (such as temperature and humidity sensor) nodes, multimedia sensor nodes capture high volumes of data and perform far more complex tasks...
Human detection in dense crowds poses to be a demanding task owing to complex background and serious occlusion. In this paper, we propose a novel real-time and reliable human detection system. We solve the human detection problem by presenting a novel cube surface model captured by a binocular stereo vision camera. We first propose a cube surface model to estimate the 3D background cubes in the surveillance...
Video surveillance systems are now widely deployed to improve our lives by enhancing safety, security, health monitoring and business intelligence. This has motivated extensive research into automated video analysis. Nevertheless, there is a gap between the focus of contemporary research, and the needs of end users of video surveillance systems. Many existing benchmarks and methodologies focus on...
Background subtraction (BS) is one of the key techniques in video surveillance applications. To cope with the variations occurred in a scene, including illumination change, the background (BG) model should be updated timely to adapt to those changes. Generally, the BG model is updated by a linear moving average scheme, but this will produce “ghost” trails in the evolved BG model since foreground objects...
Person re-identification is known as matching an individual captured in one or more cameras using a gallery of provided candidates from a different camera view. It is a hard task owing to variations in illumination, viewpoints, poses and small number of annotated training individuals. For obtaining the proper distance metrics, we propose a novel approach based on dictionary learning. Our method decomposes...
Due to the sparse distribution of road video surveillance cameras, precise trajectory tracking for vehicles remains a challenging task. To the best of our knowledge, none of the previous research considered using on-road taxicabs as mobile video surveillance cameras and road traffic flow patterns, therefore not suitable for recovering trajectories of vehicles. With this insight, we model the travel...
Video surveillance is an important security enforcement operation in many contexts, from large public areas to private smart homes and smart buildings. Today's video surveillance systems are much more than mere recording storages, as the advancement in classification and recognition allow for an immediate target recognition without the intervention of human operators. These smart video surveillance...
Wireless video surveillance is an important option suitable when it is difficult to have cable Internet and electricity infrastructure, which is the case, for example, for construction yards or vehicles. We present iCam, an open-source Internet-enabled video surveillance project, in which we use mainly discarded camera phones. The mobile application is written mainly in Python on most phone platforms,...
In this paper we describe a unique video database which consists of the real life moments of people and objects, captured under various illumination conditions and camera positions. We have classified all the videos of our database into six categories, out of which four categories are based on the movements of camera and objects (captured by the camera). The remaining categories of the database are...
In recent years, designing and testing video anomaly detection methods have focused on synthetic or unrealistic sequences. This has mainly four drawbacks: 1) events are controlled and predictable because they are usually performed by actors; 2) environmental conditions, e.g. camera motion and illumination, are usually ideal thus realistic conditions are not well reflected; 3) events are usually short...
Nowadays, one of the most interesting and active research topic in computer vision is the analysis of crowd behavior. Crowd is a set of individuals gathered in a particular physical area. Analyzing crowd behavior involves many ways viz., crowd density estimation, crowd motion detection, crowd tracking and crowd behavior recognition. We provide a brief literature survey on crowd behavior analysis from...
Due to the potential for object occlusion in crowded areas, the use of multiple cameras for video surveillance has prevailed over the use of a single camera. This has motivated the development of a number of techniques to analyze such multi-camera video sequences. However, most of these techniques require a camera calibration step, which is cumbersome and must be done for every new configuration....
Intelligent video surveillance system plays a vital role in ensuring safety and security to the public. In recent years, surveillance systems are widely used in all places starting from border security application to street monitoring systems. As the analysis of surveillance video becomes one of the most emerging trends and research fields of interest, there is a need for a comprehensive survey on...
The development of high quality video surveillance systems provides the ability to perform measurements from image data. This paper describes and demonstrates the extraction of basic human biometric features from surveillance video camera data using an uncalibrated single-view surveillance camera system. Perspective-based photogrammetric techniques are applied in situations where only minimal real...
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