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Object tracking is a challenging problem due to the presence of noise, occlusion, clutter and dynamic change in the scene other than the motion of object of interest. A variety of tracking algorithms has been proposed and implemented to overcome these difficulties, but there are still some problems need to be covered. This paper proposed an algorithm to track the moving objects employing a color-based...
This paper presents a method to solve the correspondence problem in matching the stereo image using Sum of Absolute Differences (SAD) algorithm. The computer vision application in this paper is using an autonomous vehicle which has a stereo pair on top of it. The estimation of range is using curve fitting tool (cftool) for each detected object or obstacles. This tool is provided by Matlab software...
Due to multi-collinearity of the traditional aircraft's magnetic inference model, it is difficult to estimate the parameters of model accurately. And the magnetic anomaly detection (MAD) in airborne is affected too. Because of the time-domain characteristics of magnetic target, the magnetic signal of target was considered as a kind of short-time signal. Using the statistical characteristics of aircraft's...
In this paper, we consider the advantage of particle system to simulate the real-time fountain model, and make use of the Possion distribution to get the probability of the special number of the particles which collision happened and the average number of particles which the collision play out. In addition, we present a new approach from the perspective of the energy of the particles to judge whether...
Detecting a high-quality moving object with good robustness in computer vision system has important significance for follow-up task. Researching on the traditional algorithm, this paper proposes a background reconstruction algorithm based on a modified k-means clustering and the Single Gaussian model which could provide an accurate background image through a sequence of scene images with foreground...
Recent research has been devoted to detecting people in images and videos. In this paper, a human detection method based on Histogram of Oriented Gradients (HoG) features and human body ratio estimation is presented. We utilized the discriminative power of HoG features for human detection, and implemented motion detection and local regions sliding window classifier, to obtain a rich descriptor set...
Pedestrian detection is one of the most popular research areas in video processing and it is vital for video surveillance systems. In this paper, we present a real-time pedestrian detection system based on Dalal and Triggs's human detection framework with the use of image segmentation and virtual mask. Image segmentation enables the system to focus only on the region of interest whereas the virtual...
Total robustness to illumination change is difficult to solve just using a single approach. Our approach to improvement in accuracy and robustness to illumination change is by fusing two different methods, namely, color constancy and color co-occurrence. A “grey world” assumption is used to handle sudden illumination change while color cooccurrence modelling is used to handle gradual illumination...
A method for extracting Web object is presented in this paper. Firstly, Web object blocks are obtained by blocking the web page and calculating the information entropy of it. Then it uses Conditional Random Field model as a probability and statistics model, and builds a series of feature templates according to the characteristics of objects themselves. Feature functions are generated based on the...
Aquarium usually provides the visitors with pictures and some description of the fishes in the exhibition tank. In this paper, an intelligent fish recognition system using computer vision is proposed to help aquarium to educate people about the fishes in the tank. The designed system provides a convenient and friendly interface to help the users to retrieve the related fish information they are interested...
Computer detection for the current wide application in the textile industry, using computer digitized fabric image to achieve recognition and analysis. With a positive feedback, distributed computation to solve ant colony algorithm is a combination of new methods of optimization problems, and then proposed an improved ant colony algorithm based on fabric image detection method. The method for the...
In order to develop an automatic and rapid detection method for enumeration of total bacteria in juice, biomimetic pattern recognition and machine vision were employed. The characteristic data, such as shape, texture and color features, were acquired by using the machine vision technology from bacteria images in varieties of juice. Based on multi-weight higher order neuron network, the recognition...
Focusing on the problem that the detection accuracy of traffic detection system is sensitive to the changes of complex environments, this paper presents an improved method of vehicle detection. It builds and updates the background adaptively. Additionally, to improve the computation efficiency of shadow elimination, a fast algorithm of neighbor mean based on HSV model is proposed. As the occlusion...
Introduces a prototype of wearable observation supporting system for helping human complete the observation and recognition tasks based on wearable camera. The research presented here addresses special challenge problems encountered in wearable computing environment. The implementation of new architecture and system process flow with functions will help the wearers real-time face detection, recognition...
Mean shift algorithm has grained great success in object tracking domain due to its ease of implementation, real time response and robust tracking performance, however, the fixed kernel bandwidth may cause tracking failure for size changing objects. A novel object tracking algorithm for FLIR imagery is proposed based on mean shift with adaptive bandwidth. The scale invariant feature transform is employed...
Many ellipse detection algorithms produce multiple elliptic hypotheses corresponding to a single elliptic object. Thus, it is needed to identify similar ellipses that possibly belong to the same object and cluster them as a single object. This will reduce the computational and memory requirement for further higher level processing of ellipse detection algorithms. Here, we present a method better than...
The application of edge detection to obtain salient lane boundaries on road image is popular in the computer vision area. However, edge detectors may be easily distracted by manifold noises that emerged on the road surface such as shadow cast, vehicles or other obstacles. Additionally, sky region can adversely affect the performance of lane detection method due to the presence of horizontal edges...
For improving accuracy and robust property of human detection, fusion of image sequences captured from visible-thermal sensors is lucrative. Instead of performing it in pixel-level directly, we try to fuse object features by a novel image sequence fusion algorithm based on gradient feature (GFIF). The GFIF algorithm calculate gradients of input images to form a joint histograms of Oriented Gradient...
This paper presents my work on computing shape models that are computationally fast and invariant basic transformations like translation, scaling and rotation. In this paper, I propose shape detection using a feature called shape context. Shape context describes all boundary points of a shape with respect to any single boundary point. Thus it is descriptive of the shape of the object. Object recognition...
Red-light violation video detection is one of the critical techniques in the intelligent transportation system, it is superior to traditional detection methods in aspect of function and maintenance. According to the practice of crossroads and the characteristics of vehicles running red-light, this paper presents a vision vehicle detection algorithm based on detection region to detect moving vehicles,...
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