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Smart CCTV (Closed-Circuit Television) technology has increasingly been developed in the last few years to judge the situation and notify the administrator or take immediate action for security and surveillance reasons. Currently the methods to detect object motion typically include the Frame Difference Method (FDM) which can detect moving objects and the Background Subtraction Method (BSM) which...
This paper presents a new computer vision design flow for real time detection and recognition of traffic signs. Autonomous traffic sign detection can play a crucial role in many applications related to transportation safety and geographical information systems. The challenges that need to be addressed include the necessity for robust and accurate detection as well as the high computational requirements...
For a long time, science visualization, also called graphic visualization has been widely used in the medical field. However, another kind of visualization, called information visualization or data visualization is playing a more and more important role in this field in recent years. This paper is to provide a solution to apply information visualization in telemedicine. Due to the unique data complexity...
This paper presents algorithm for fast connected component labeling of the binary images. Simplicity of the algorithm predetermines its use especially in real-time applications like human computer interfaces. Current algorithms are based on different hierarchical structures and union-trees. The presented algorithm does not connect every component as in a common approach. Instead, some regions stay...
For solving the problem of false tracking by Continuously Adaptive Mean Shift (CAMSHIFT) algorithm when sharing significant color similarity between object and background and changes of object color, moreover, for avoiding selecting initial target object by hand, an adaptive robust objects tracking algorithm based on active camera is proposed. It uses the disparity of global and local motion to detect...
Visual tracking is among the newly burgeoning subjects along with advancement of computer vision systems, and embedded tracking system is a conjunction of hardware-embedded communications and control system, as well as software-embedded tracking system. In this paper, the Meanshift algorithm implementing visual tracking is introduced. The integral hardware design is based on the TE6410 development...
In recent years, intelligent traffic system (ITS) and telematics system have become a popular issue for traffic safety, convenience and efficiency. The real-time and historical traffic and other roadside information is very helpful information and can be analyzed to give good telematics services and traffic controlling, such as navigation, traffic flow, weather, traffic prediction and so on. This...
In this paper a novel evaluation framework for measuring the performance of real-time action recognition methods is presented. The evaluation framework will extend the time-based event detection metric to model multiple distinct action classes. The proposed metric provides more accurate indications of the performance of action recognition algorithms for games and other similar applications since it...
Topological mapping and scene recognition problems are still challenging, especially for online realtime vision-based applications. We develop a hierarchical probabilistic model to tackle them using color information. This work is stimulated by our previous work [1] which defined a lightweight descriptor using color and geometry information from segmented panoramic images. Our novel model uses a Dirichlet...
Recent computer vision technology has made great progress in 3DTV industry. The advent of 3DTV to the home raises a number of challenges beyond the basic display of an available stereo pair. One of them is the production of 3D augmented contents. To present virtual objects over the real world, the existing method is offline processing in postproduction. It is a difficult and expensive work since flexible...
This paper describes a new hardware architecture for barrel distortion correction in a color video stream. Such distortion is omnipresent in images acquired with a large field of view optics: wide-angle or fish-eye lenses. The designed platform is composed of a standard image sensor, a USB video class ASIC chip, a low cost FPGA and a SDRAM memory chip. Image processing algorithms are implemented in...
Automatic visual monitoring is one of the key research areas in recent years. Segmentation of moving objects is an important step toward monitoring and activity analysis. This paper proposes a real-time moving object segmentation technique using Bayer-pattern images. The proposed method takes care of low resource availability at embedded system. In order to reduce memory requirements, we model the...
In this paper, we propose a novel high-speed stereo matching algorithm using pixel classification and reliable disparity propagation. While the research on stereo matching has such a long history and many state-of-art strategies have been introduced in recent years, the contradiction between the quality and the time consumes has not yet been solved. Our stereo method tackles this problem with two...
This paper proposes a content-adaptive blending method, smart compositing, for displaying two overlapped video frames on the same screen while preserving the readability of both. A pixel-wise adaptive blending factor map is generated according to the edge and saturation information of the content of only the overlay frame. Using this blending factor map, regions of the overlay frame with edges or...
To satisfy real-time requirement of mobile robot' scene recognition, the parallel algorithms of salient features extraction are designed and implemented. Firstly, the parallel characters of salient features extraction are analyzed. Then, two parallel algorithms are presented based on multi-core and GPU respectively. Experiments show that multi-core parallel algorithm can satisfy real-time requirement...
Currently, both the market and the academic communities have required applications based on image and video processing with several real-time constraints. On the other hand, detection of moving objects is a very important task in mobile robotics and surveillance applications. In order to achieve an alternative design that allows for rapid development of real time motion detection systems, this paper...
The use of depth is becoming increasingly popular in real-time computer vision applications. However, when using real-time stereo for depth, the quality of the disparity image is usually insufficient for reliable segmentation. The aim of this paper is to obtain a more accurate and at the same time faster segmentation by incorporating color, depth and optical flow. A novel real-time superpixel segmentation...
In this paper, we discuss theoretical foundations and a practical realization of real-time traffic sign detection and tracking method for a autonomous vehicle (P3-AT mobile robot). Continuous adaptive mean shift (Cam-Shift) algorithm is efficient for object tracking with its high speed and insensitiveness to the rotation and scale of the target, but it is influenced by the background. In order to...
Advances in surveillance technology create challenges for management and presentation of massive amount of sensor and imagery data. The imageries acquired by the surveillance sensors often yield “soda straw” views of the situation due to the camera narrow field of view (FOV). Conventional surveillance systems that comprise of multiple screens, each displaying respective acquired video stream, fail...
Augmented Reality (AR) systems which use optical tracking with fiducial marker for registration have had an important role in popularizing this technology, since only a personal computer with a conventional webcam is required. However, in most these applications, the virtual elements are shown only in the foreground a real element does not occlude a virtual one. The method presented enables AR environments...
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