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Human's gaze direction is a useful cue to understand his/her attention and interest. There are many kinds of eye tracking devices, but they are usually unavailable for people observed in surveillance views because they are located too far to observe their eyeballs. If we could know the gaze direction from such surveillance views, it should be very effective for many applications. Our research objective...
Nowadays, more and more online examinations are holden in the distributed examination centers, which calls for the deployment of examination surveillance systems. Various related techniques have been proposed for this purpose, for example, video surveillance, face recognition based identification, and etc. However, there is still a lack of flexible and scalable solution to detect the misbehavior of...
Studying free-standing conversational groups (FCGs) in unstructured social settings (e.g., cocktail party ) is gratifying due to the wealth of information available at the group (mining social networks) and individual (recognizing native behavioral and personality traits) levels. However, analyzing social scenes involving FCGs is also highly challenging due to the difficulty in extracting behavioral...
In this study, we design a dual cooperative camera system to maintain the both requirements of a visual surveillance system of tracking and close-up viewing functions in real time. In most of the object tracking or detecting systems, the details or close-up views of the objects are easily neglected for surveilling the environment to keep the camera in wide field view. Besides, some of the systems...
We propose a human detection method for obtaining human flow information from low-resolution video generated by existing surveillance cameras. To use cameras in public spaces, it is necessary to protect the privacy of individuals appearing in the videos. We use low-resolution video in which individuals cannot be identified. In low-resolution video, human detection is more difficult than in high-resolution...
In this paper, a novel feature for activity recognition from vertical top-view depth image sequences is firstly proposed. Most of previous works are focusing mainly on the side-view depth or color image sequences, which unfortunately may encounter occlusion problems. Therefore, top-view camera setting is adopted in our research. Based on the idea of computed tomography (CT) from medical imaging, the...
Currently, while the technology related to gigapixel image might not be well known to the general masses of people, le ading edge enterprises like Google and BAE Systems are successively reporting for achieving the progress of gigapixel ap plication and camera system. Even though conventional cam era technology is limited to the class of megapixel image, we can obtain gigapixel image readily by means...
To increase the robustness of detection in intelligent video surveillance systems, homography has been widely used to fuse foreground regions projected from multiple camera views to a reference view. The objective of this paper is to detect multiple pedestrians and identify the false-positive detections, which occur due to the foreground intersections of non-corresponding objects, in the top view...
This paper proposes a real-time indoor surveillance system which installs multiple depth cameras from vertical top-view to track humans. This system leads to a novel framework to solve the traditional challenge of surveillance through tracking of multiple persons, such as severe occlusion, similar appearance, illumination changes, and outline deformation. To cover the entire space of indoor surveillance...
This paper presents a new approach for human hair length detection. In contrast to others, the proposed method is able to segment hairs from different views of human heads even with low resolution. Faces are not necessary to be visible in the images, as no face detection is needed in our method. Firstly, it conducts background subtraction to detect foreground objects and then detects human heads with...
In the paper vehicle length estimation based on stereoscopic video analysis is considered. The accuracy of the parameters of the stereoscopic video acquisition system influence accuracy of the estimated vehicle length. The respective analysis is provided in the paper. The main result is the formula for estimating the accuracy of the vehicle length measurement.
This paper introduces an effective intruder detection algorithm for an off-time swimming pool surveillance using thermal imaging system. Two sub-algorithms are developed for intruder detection outside and inside swimming pool regions during off-time. The algorithm can detect not only moving human in different directions, but also any water activity in the swimming pool caused by human intruder such...
CCTV and surveillance networks are increasingly being used for operational as well as security tasks. One emerging area of technology that lends itself to operational analytics is soft biometrics. Soft biometrics can be used to describe a person and detect them throughout a sparse multi-camera network. This enables them to be used to perform tasks such as determining the time taken to get from point...
Recently, there are many serious crimes happening in many institutions and commercial areas. Therefore, security and protection for those areas are needed. This paper proposes an automatic method for counting passersby using horizontal measurement line to solve this serious problem. In this paper, time and direction information are used to count passersby. Therefore, time-space image and measure the...
We propose a novel context based human fall detection mechanism in real home environment. Fall incidents are detected using head and floor information. The centroid location of the head and feet from each frame are used to learn a context model consisting of normal head and floor blocks. Every floor block has its associated Gaussian distribution, representing a set of head blocks. This Gaussian distribution...
Calibrated cameras are an extremely useful resource for computer vision scenarios. Typically, cameras are calibrated through calibration targets, measurements of the observed scene, or self-calibrated through features matched between cameras with overlapping fields of view. This paper considers an approach to camera calibration based on observations of a pedestrian and compares the resulting calibration...
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...
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...
Cameras are becoming a common tool for automated vision purposes due to their low cost. In an era of growing security concerns, camera surveillance systems have become not only important but also necessary. Algorithms for several tasks such as detecting abandoned objects and tracking people have already been successfully developed. While tracking people is relatively easy, counting people in groups...
This paper describes an approach to classify people, groups of people and luggage in the halls of an airport. The algorithm is included into a surveillance system which tracks and classifies objects and transmits this information to a higher computational level which fuses the information of several cameras covering overlapping areas. Two kind of features are used: foreground density features and...
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