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Surveillance is a paramount problem for harbor protection, border control and security of various commercial facilities. It is particularly challenging to protect the vast near-coast sea surface and busy harbor areas from intrusions of unauthorized marine vessels, such as trespassing boats and ships. In our project, we present a state-of-the-art solution for ship intrusion detection using image processing...
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...
Human behavior analysis based on surveillance camera is one of hot topics in security, marketing as well as computer vision and pattern recognition, and these are useful for commercial facilities such as convenience stores or book stores. In general, since surveillance camera is placed on the ceiling near store wall to monitor customer behaviors, the majority of this research utilize human model adapted...
A novel prototype of MR (Mixed Reality) Sand Table is presented in this paper, that fuses multiple real-time video streaming into a physically united view. The main processes include geometric calibration and alignment, image blending and the final projection. Firstly we proposed a two-step MR alignment scheme which estimates the transform matrix between input video streaming and the sand table for...
Because of the unprecedented number of crimes and terror attacks as well as the vital need to provide safer environment, a surge of concerns has emerged in many countries to ensure the safety of their citizens via the use of advanced surveillance technology. It is no wonder that many cities have deployed a number of biometric technologies within their surveillance systems to ease the management and...
The work proposes different methods to avoid various fields from the invaders such as birds, animals etc. These factors cause a huge impact in the fields such as Airports, Gardens, and Agriculture. Methods such as Image processing, radar system, voice recognition, and motion sensors are used for detection. Image processing is used for template matching, Radar system classifies the birds and it determines...
Human activity recognition in video camera is the prime research topic in computer vision and machine learning since last many years. Visual cameras have been used in public and private place like railway station, shopping malls, airport, offices, schools and university, etc. to recognize threat in the scene. The automated visual surveillance system will help to catch suspect in the scene, person...
This paper presents a framework for privacy-preserving video delivery system to fulfill users' privacy demands. The proposed framework leverages the inference channels in sensitive behavior prediction and object tracking in a video surveillance system for the sequence privacy protection. For such a goal, we need to capture different pieces of evidence which are used to infer the identity. The temporal,...
In wide environment surveillance systems, panoramas are widely used to display environmental information. Because of the diversity of environment, refreshing the environment uniformly is unscientific. This paper presents a hybrid performance evaluation criterion based on information entropy. In the definition of this criterion, the effective degree of information, the importance of information and...
Video surveillance system is widely adopted in order to secure life. This paper presents embedded home surveillance systems to detect intruder in home environment. Proposed system works on embedded Linux board which is equipped with an ordinary web camera. At software level, it uses Open Computer Vision library to detect intruder in two different steps, Histogram of Oriented Gradient and Haar Like...
Modern surveillance systems commonly use pan-tilt-zoom camera to monitor the wildlife. With the expansion of monitored area, it is a fundamental problem to acquire clear images of the interested target by controlling camera. In this paper, we propose a kinematics model of a pan-tilt-zoom robotic camera to address this problem. The pan-tilt-zoom camera can be regarded as a special Tele-Observation...
Due to the need of indoor emergency rescue for earthquake disasters, we propose the iPOST (Indoor Post-Earthquake Corridor Obstacle Assessment System) to determine the obstacles in the corridors after earthquakes. Before an earthquake hits, a pre-earthquake image is used to segment its corresponding floor area for determining the presence of obstacles. After an earthquake, the pre-earthquake and post-earthquake...
Person re-identification (Re-ID) maintains a global identity for an individual while he moves along a large area covered by multiple cameras. Re-ID enables a multi-camera monitoring of individual activity that is critical for surveillance systems. However, the low-resolution images combined with the different poses, illumination conditions and camera viewpoints make person Re-ID a challenging problem...
Developing surveillance and monitoring systems can be quite challenging at times, since the systems should be designed with consideration of the environment to be monitored. Good surveillance systems need to have dynamic features, e.g. monitoring cameras that are mobile and can move around the area being monitored. One scenario that requires such mobile monitoring is the surveillance of a large building...
Object Counting and Tracking are an integral part of computer-aided surveillance intelligence. In this paper, we propose an Object Counting algorithm based on region segmentation and a tracking method that works on the Kalman Filter to predict the next state of a moving object. We considered people, moving under an overhead camera as our primary targets. As a pre-processing step, we extracted foreground...
Automatically describing pedestrians in surveillance footage is crucial to facilitate human accessible solutions for suspect identification. We aim to identify pedestrians based solely on human description, by automatically retrieving semantic attributes from surveillance images, alleviating exhaustive label annotation. This work unites a deep learning solution with relative soft biometric labels,...
Deep learning models have recently achieved the state-of-the-art results on a well-known pedestrian detection dataset. However, such images were obtained from open scenarios with fixed imaging geometry parameters, which may produce a network not suitable for detecting a person in more general settings, such as the ones found in surveillance systems. As gathering and annotating data is a highly expensive...
With the technology developing, people enjoy much longer life than ever before. On the other hand, it also bring various problems and inconvenience, one of the most serious is the safety of the elderly people who lives alone. In case of preventing this trouble, we proposed the camera surveillance system for dangerous behavior detecting such as fall down detecting. In this paper, we proposed a new...
The widespread application of camera-based surveillance systems has inspired extensive investigation on human localization. In this paper, we proposed a device-free localization method using panoramic camera and indoor map. The proposed method is able to provide precise location information of human object without any terminal device. After preprocessing the images observed with a panoramic camera,...
The goal of this work is to propose an effective and efficient visual surveillance system for detection, geolocalization, and data association of moving human crowds using teams of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) in a border patrol application. Such complex system suffers from various emerging challenges such as: heterogeneous dynamic data, non-rigid target shapes,...
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