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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...
At current era human being always try to develop a system that minimizes manual human efforts by implementing automation in the existing system with the help of software and hardware platform's available. By considering above fact, we decide to implement an automated attendance system that will put attendance of student if he/she will come in front of camera. The main activities carried out during...
Vision-based video surveillance systems have gained increasing popularity. However, their functionality is substantially limited under nighttime conditions due to the poor visibility caused by improper illumination. Equipped on night vision cameras, ordinary infrared (IR) illuminators of fixed-intensity usually lead to the imaging problem of overexposure (or underexposure) when the object is too close...
This paper presents a human model-based feature extraction method for a video surveillance retrieval system. The proposed method extracts, from a normalized scene, object features such as height, speed, and representative color using a simple human model based on multiple-ellipse. Experimental results show that the proposed system can effectively track moving routes of people such as a missing child,...
With the rapid development of Smart City, video surveillance platform is a critical part of it now bearing a substantial pressure. The current video surveillance platform appear to have several bottlenecks: overloaded streaming media server, weak tolerant ability and weak in expansion. After an investigation on the architecture of the current stand-alone streaming media server, this paper proposes...
For eÅÊã¸Ñ-time'"N`¬H eNÑ of¬HèÙÅÊ eÅÊN¬HÅÊ site, design and implementation of an embedded remote monitoring system Boa server to ARM9 S3C2440 processor core, expanding peripheral devices, using embedded Linux...
Omnidirectional cameras have a lot of potential for surveillance and ambient intelligence applications, since they provide increased coverage with fewer cameras. We introduce the new BOMNI dataset, collected with two omnidirectional cameras simultaneously. The dataset contains single subject and multi-subject interaction scenarios, as well as actions relevant for ambient assisted living, such as falling...
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic.
Today, surveillance systems play a key role in highly secured areas. The most common surveillance system, CCTV, produces a continuous image and has various problems such as high cost, need for continuous human intervention, and an inherent difficulty in locating and identifying the intruder due to the presence of obstacles. This paper proposes a scheme to classify a person's movement as intrusive...
The aim of this paper is to present an algorithm for multiple object tracking and video summarization in a scene filmed by one or several cameras. We propose a computationally efficient real time human tracking algorithm, which can 1) track objects inside the field of view (FOV) of a camera even in case of occlusions; 2) recognize objects that quit and then return on a camera's FOV; 3) recognize objects...
In many surveillance systems there is a requirement to determine whether a given person of interest has already been observed over a network of cameras. This paper presents two approaches for this person re-identification problem. In general the human appearance obtained in one camera is usually different from the ones obtained in another camera. In order to re-identify people the human signature...
The determination of ethnicity of an individual, as a soft biometrics, can be very useful in a video-based surveillance system. Currently, face is commonly used to determine the ethnicity of a person. Up to now, gait has been used for individual recognition and gender classification but not for ethnicity determination. This paper focuses on the ethnicity determination based on fusion of multi-view...
Qinghai Lake Natural Protection Zone is a sanctuary for migratory birds, but also a focal point in global concerns of avian influenza. In order to support the research about migratory birds, we planned to set up a remote monitoring system in Qinghai Lake. The development of this system refers to some techniques about GIS(geographic information system), J2EE and ActiveX. This web video monitor system...
Videos are an important source of information and require extremely computation expensive analysis in order to understand the high level semantics. The computational difficulties in extracting embedded information and bridging the semantic gap present the major challenges in interoperability, scalability and real-time response of video analytic systems. In this paper, we propose an intelligent video...
This paper presents an approach to the object reidentification problem in a camera network system. The reidentification or reacquisition problem consists essentially on the matching process of images acquired from different cameras. This work is applied in a monitored environment by cameras. This application is important to modern security systems, in which the targets presence identification in the...
The inherent nature of image and video and its multi-dimension data space makes its processing and interpretation a very complex task, normally requiring considerable processing power. Moreover, understanding the meaning of video content and storing it in a fast searchable and readable form, requires taking advantage of image processing methods, which when running them on a video stream per query,...
Soft biometrics are characteristics that can be used to describe, but not uniquely identify an individual. These include traits such as height, weight, gender, hair, skin and clothing colour. Unlike traditional biometrics (i.e. face, voice) which require cooperation from the subject, soft biometrics can be acquired by surveillance cameras at range without any user cooperation. Whilst these traits...
We present a method for recognizing a vehicle's make and model in a video clip taken from an arbitrary viewpoint. This is an improvement over existing methods which require a front view. In addition, we present a Bayesian approach for establishing accurate correspondences in multiple view geometry. We take a model-based, top-down approach to classify vehicles. First, the vehicle pose is estimated...
Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to record the presence of a species at a location, recording their movement in the Eulerian sense. Modern digital camera traps that record video present new analytical...
Urban environments present unique challenges from the perspective of surveillance and security. Threat activity in urban environments tends to be very similar to background activity, while the volume of activity is often very high. The widespread geographical area presents issues from the perspective of response. These characteristics of urban environments create challenges to traditional applications...
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