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Social networks are a beneficial analysis tool in counterterrorism and counterinsurgent activities. The difficulty lies in the amount of time and resources it takes to construct a social network. By exploiting existing 24-hour overhead persistent video, we can build a social network from vehicle to vehicle and vehicle to building interactions. This paper demonstrates building a social network from...
The objective of this study is to establish a rear-end collision warning system for an advance safety vehicle (ASV) by using a mounted rear-end monitoring camera. The paper attempted to analyze the driving environmental data and built up the rear-end collision warning logic on account of image processing. The main idea of the warning system is to prevent accidents caused by inattentive drivers. In...
An increase volume of surveillance video is being collected, by various organizations, which has led to a need for automated video systems in order to reduce reviewing time. Using persistent video gathered from an aircraft overhead, as is done with unmanned aerial systems in Iraq and Afghanistan, we get a birds-eye view of vehicular activity. From these activities we can use a model to detect suspicious...
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications. We propose to use a group representative to handle the recognition with flexible or varying number of group members, and use an asynchronous hidden Markov model (AHMM) to model the relationship between two people. Furthermore, we propose a group activity detection algorithm which...
Due to the limit of storage capacity and processor speed, only a subset of frames from each channel can be recorded in a multi-channel video surveillance system. Each channel may have different recording frame rate. It is required that the recorded frames from the same channel should have equal temporal distance between any two consecutive frames. In this paper, we define cost functions to evaluate...
This paper presents an integrated solution for vehicle's velocity estimation and vehicle counting. The proposed restores the scene geometric properties, building a ground plane rectified image. Moreover, multiple vehicles tracking is performed embedding the concept of region covariance descriptors in a particle filter framework. The results show the effectiveness of the approach here proposed in very...
This paper presents the design of an automatic anti- collision system which composed by embedded FPGA, DSP and ARM. TMS320DM6437 DSP as the core of the system, and Spartan-3 FPGA, S3C2410 ARM9, EP1C3T144C6 FPGA is its best match. First, we designed FPGA + DSP 3 way video surveillance system and DSP + ARM + FPGA automatic warning and control system, then combined them together to complete the whole...
Moving object detection is a very important step in video surveillance. And frame difference algorithms are suitable for these applications. First of all, an automatic threshold calculation method was proposed according to statistic information to obtain moving pixels of video frames. Then moving regions can be formed by morphological operations. At last, the nearest distance of two regions was proposed...
We present a method to group trajectories of moving objects extracted from real-world surveillance videos. The trajectories are first mapped into a low dimensionality feature space generated through linear regression. Next the regression coefficients are clustered by a Gaussian mixture model initialized by K-means for improved efficiency. The model selection problem is solved with Bayesian information...
A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gray regions, (iii) rising regions, and (iv) shadows. Each algorithm yields its own decision as a real number in the range [-1,1] at every image frame of a video sequence. Decisions from subalgorithms are fused using an adaptive...
For the growing number of accidents caused by poor visibility, visibility measurement which can alert drivers and inform traffic division managements when poor visibility occurs is a key parameter in driving assistance system. This paper is to implement a visibility measurement system that based on traffic video-surveillance system can both detect fog and estimate visibility distance. We propose a...
Real-time human face detection and recognition from video sequences in surveillance applications is a challenging task due to the variances in background, facial expression and illumination. The face detection approach is based on modest AdaBoost algorithm and can achieve fast, accurate face detection that is robust to changes in illumination and background. The detection stage provides good results...
Natural disasters such as earthquake, tsunami, typhoon and hurricane in addition to annual disaster have frequently happened at many places around the world. Once disaster happened, communication network and information system are seriously damaged and communication means for residents cannot be used in the disaster area. Therefore, it is required to prepare emergency network system which can be quickly...
The continuous search for endurance has transformed the world into a place filled with electronic and digital security systems. Emerging technologies have metamorphosed the nature of surveillance and monitoring applications, but the sensory data collected using these gadgets still remains unreliable and poorly synchronized. In this paper, we detail a research project named Intelligent Intrusion Detection...
In this paper, we present a texture-based multitarget tracking algorithm. Moving objects are described by local binary patterns (LBP), which is a kind of discriminative texture descriptor. The Kalman filter is introduced into the algorithm to predict the blob's new position and size. Blobs are searched in the neighborhood of the Kalman predictions. If more than one are found, the LBP distance, which...
In this paper, an integrated video surveillance system for robust tracking is introduced. In the blob detection part, an optical flow algorithm for crowded environment is studied experimentally and a comparison study with respect to traditional subtraction approach is carried out. In the segmentation part, different algorithms are fused to develop a hybrid algorithm for stable segmentation, and validation...
A modeling method of motion-function is presented to represent the motion in detection of video images within the physical and motional characters of body. It concentrates on the characters of video surveillance, with the examples of walking videos, and results in walking functions by extracting and dealing with the data from the experiments. On this basis, more experiments are required to validate...
The method of the shadow detection and remove which has application value is proposed based on analyzing visual surveillance purposes. The method proposed is essentially based on linear ratio and shadow direction angle threshold to locate the rough shadow regions, considering the relationship of the probability whether it is a shadow pixels and distances which between the shadow pixels and the centroids...
Many factors such as blurring effect, expression, illumination may affect the face recognition accuracy. In this paper, we focus our attention on the impact caused by resolution. In the video surveillance system, facial images in different resolutions may be detected, it is necessary for us to find out the impact of changing resolutions on different face recognition algorithms. A database has been...
A robust approach to detection and tracking of multiple moving targets from a moving camera is presented. The main novelty of this approach is that objects are represented using efficient compact form of the colour correlogram. Like previous correlograms, this encodes both spatial pattern and appearance information about the target. However it is less complex to compute, making it applicable to real...
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