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Security being of utmost importance, video surveillance has become an active research topic. Video analytics enhance video surveillance systems by performing tasks of real time event detection and post-event analysis. This can save human resources, cost and increase the effectiveness of the surveillance system operation. One of the common requirements of Video Analytics for security is to detect presence...
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...
The paper presents a novel face detection scheme that enables real-time processing with low false-alarm rate in HD videos. The proposed method includes an adaptive image resizing based on the prior knowledge of detectable face size in minimum and a fast removal of non-facial region based on skin filter. There are three contributions of the paper; the first is fast processing by using an adaptive down-sizing...
We have proposed and demonstrated a smart camera network system which provides a cost-effective, reliable, and robust surveillance system. Each smart camera can autonomously analyze human behavior and recognize suspicious actions in real time. The cooperative smart cameras communicate with each other over a wireless mesh network and enable us to track suspicious behavior through multiple cameras'...
We present a real-time approach to estimating the gaze direction of multiple individuals using a network of far-field surveillance cameras. This work is part of a larger surveillance system that utilizes a network of fixed cameras as well as PTZ cameras to perform site-wide tracking of individuals. Based on the tracking information, one or more PTZ cameras are cooperatively controlled to obtain close-up...
In this paper, we describe a smart surveillance system to detect human faces in stereo images with applications to advanced video surveillance systems. The system utilizes two smart IP cameras to obtain the position and location of the object that is a human face. The position and location of the object are extracted from two IP cameras and subsequently transmitted to a Pan-Tilt-Zoom (PTZ) camera,...
The omni-directional cameras providing 360 degrees field of view (FOV) are widely used in video surveillance and robot vision applications. However, the omni-directional cameras have an obvious drawback; that is, only low-resolution images captured. Therefore, the objects are not able to be correctly identified if they are far from the omni-directional cameras. To overcome this problem, we propose...
In this paper, we describe a system for smart surveillance using stereo images with applications to advanced video surveillance systems. The system utilizes two smart IP cameras to obtain the position and location of objects. In this case, the object target is human face. The position and location of the object are automatically extracted from two IP cameras and subsequently transmitted to an ACTi...
These Face detection and recognition research has attracted great attention in recent years. Automatic face detection has great potential in a large array of application areas, including banking and security system access control, video surveillance, and multimedia information retrieval. In this paper, we discuss the opportunity and methodology for implementation of an embedded face detection system...
Vision-based people counting systems have wide potential applications including video surveillance and public resources management. Most works in the literature rely on moving object detection and tracking, assuming that all moving objects are people. In this paper, we present our people counting approach based on face detection, tracking and trajectory classification. While we have used a standard...
Surveillance cameras generally have a wide field of view and do not capture the human face with a resolution that is sufficient for machine recognition. To overcome this problem, this paper presents a realtime face detection and tracking algorithm using a single PTZ (Pan, Tilt, Zoom) camera. Unlike existing algorithms which track the human face in the field of view of a fixed camera, the proposed...
Face recognition from video typically involves two steps: face detection and face recognition. One of the problems associated with poor face recognition results is poor face detection. In this work, we devise a three-step strategy to prune a set of frames in a probe video to that subset in which the face is actually found and in which the matching scores are more reliable. We also exploit temporal...
The iris is a highly accurate biometric identifier. However widespread adoption is hindered by the difficulty of capturing high-quality iris images with minimal user co-operation. This paper describes a first-generation prototype iris identification system designed for stand-off cooperative access control. This system identifies individuals who stand in front of and face the system after 3.2 seconds...
Terrorism threats have increased in transport areas such as airports, train stations, and subways. An intelligent system is proposed to be integrated into transportation facilities, where passengerpsilas background information could be available based on the face images captured of these passengers. Capturing a face image of a passenger is not an easy task, especially in an environment where passengers...
The background subtraction algorithm based on the YUV color space, image gradient and shape segmentation is used in this research to extract the region of interest from a real-time video surveillance camera. We choose to extract a human face from video sequence. This research has long been considered as an important and still challenging issue in video surveillance. In this paper we present an improved...
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