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This work presents and evaluates the PixelLaser system, designed to estimate range-to-obstacle scans from single images. Its visual pipeline uses nearest-neighbor texture-matching to segment groundplane (traversable) texture from non-groundplane (obstacle) texture. Using the known pose of a webcamera, the system then transforms these segmentations into range-scans. This paper presents a thorough evaluation...
Vehicle Segmentation algorithm make a effective segmentation as there is a certain contrast between foreground and background, in order to deal with effective segmentation problem,in the case of the low contrast between foreground and background, cased by inappropriate camera parameters set or cloudy day. Then present a method simulating the gray level value in area of interesting changes by using...
This paper describes our algorithms for players tracking and ball detection for an automatic broadcast tennis video annotation. The system detects and tracks the players using a robust non-parametric procedure for estimating density gradients called the mean shift algorithm. The basic mean shift tracking algorithm assumes that the target object has to separate sufficiently from background, but this...
Due to the prevalence of digital cameras, it is easy to retrieve digital images from the Internet. With the rapid development of digital image processing, databases, and Internet technologies, how to efficiently manage a large amount of digital images is very important. In this paper, we proposed a novel approach for automatic image annotation. We extract color, texture, and shape features from a...
This paper presents the solution of image mosaics in video conference. The video conference has become more and more useful because of the economical and ecological cost of transport. In some large video conference, it will need two or more cameras to capture the wide scene. It is not convenient for the attendees to view two or more displays at the meeting. The proposed image mosaics solution is to...
The proposed technique addresses a fusion method of two imaging sensors on pixel-level. The fused image will provide a scene representation which is robust against illumination changes and different weather conditions. Thus, the combination of the advantages of each camera will extend the capabilities for many computer vision applications, such as video surveillance and automatic object recognition...
The design and the implementation of algorithms on FPGA-based architectures, is a complex task, above all for image processing. Many vision applications (video monitoring, obstacle detection from a vehicle) require real time performance. This paper analyzes only a classical function involved in these applications: pixel characterization by an attribute vector, and pixel classification as belonging...
Fatigue driving is an important reason of traffic accidents. This paper proposes a practical algorithm to detect eye closure using an infrared camera to monitor and recognize driver dozing. Face and eye of the driver are first localized and then marked in every frame. After extracting the eye region, the proposed algorithm can detect eye corners, and with the eye corners restrictions, eyelids movement...
This paper describes a body of multicamera human action video data with manually annotated silhouette data that has been generated for the purpose of evaluating silhouette-based human action recognition methods. It provides a realistic challenge to both the segmentation and human action recognition communities and can act as a benchmark to objectively compare proposed algorithms. The public multi-camera,...
This paper presents an implementation of starfruit maturity classification algorithm in an embedded real-time system. In order to do classification for the starfruit, the maturity of the starfruit is classified based on new color feature, which is the hue between 2 color component of red and green denoted as C. Field Programmable Gates Array (FPGA) is selected to be the main processor of the system...
Obstacle avoidance is an important task for autonomous navigation. The paper presents a simple vision based obstacle detection and avoidance algorithm for mobile robots. Using a monocular vision system, a depth map is created in which every pixel of the image captured by the robot is classified in one of the two categories- ground or obstacle. A virtual triangular obstacle is then created on the depth...
Visual Sensor Networks (VSNs) open up a new realm of smart autonomous applications based on enhanced three-dimensional sensing and collaborative reasoning. An emerging VSN application domain is pervasive healthcare delivery where gait information computed from distributed vision nodes is used for observing the wellbeing of the elderly, quantifying post-operative patient recovery and monitoring the...
In this paper, we introduce a new vision system for traffic sign recognition. The new vision system is a hybrid camera system, including a wide angle camera, a narrow angle camera and control part. The traffic sign candidates are detected in the image of the wide angle camera, based on shape and local feature. The control part of the vision system is adjusted to the correct positions, which makes...
Human motion analysis provides a valuable solution for monitoring the well-being of the elderly, quantifying post-operative patient recovery and monitoring the progression of neurodegenerative diseases such as Parkinson's. The development of accurate motion analysis models, however, requires the integration of multi-sensing modalities and the utilization of appropriate data analysis techniques. This...
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based framework to approximate the stylized computational rules of interpolation algorithms for learning statistical inter-pixel correlation of interpolated images. The interpolation process is cognized from the interpolation results...
In this paper, a general algorithm for pedestrian detection by on-board monocular camera which can be applied to cameras of various view ranges in unified manner. The Spatio-Temporal MRF model extracts and tracks foreground objects as pedestrians and non-pedestrian distinguishing from background scenes as buildings by referring to motion difference. During the tracking sequences, cascaded HOG classifiers...
Human posture recognition is gaining increasing attention in the fields of artificial intelligence and computer vision due to its promising applications in the areas of personal health care, environmental awareness, human-computer-interaction and surveillance systems. Human posture recognition in video sequences is a challenging task which is part of the more comprehensive problem of video sequence...
We present in this work an unsupervised image classifier, which is capable of clustering images taken by an unknown number of unknown digital cameras into a number of classes, each corresponding to one camera. The classification system first extracts and enhances a sensor pattern noise (SPN) from each image, which serves as the fingerprint of the camera that has taken the image. Secondly, it applies...
Video surveillance systems are becoming increasingly popular due to the emergence of high-speed wireless Internet (such as WiMax and LTE), bandwidth-efficient video compression schemes (such as H.264), and low-cost (and high-resolution) IP video cameras. This paper presents two applications of an advanced surveillance system, specifically in suspicious activity detection and human fall detection,...
With the recent progress of display, capture device, and coding technologies, multi-view video applications such as stereoscopic video, free viewpoint TV (FTV), and free viewpoint video (FVV) have been introduced to the world with growing interest. To achieve free navigation of such applications, depth information is required along with the video data. There have been many research activities in the...
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