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This paper deals with the video surveillance problem in static camera. The aim is to design a moving object detection system based on advanced CPU DM6437. After capturing the pictures according to the timing, the background model is established without the objects and the background information is real-time updated due to the changes of the environment. After that, background subtraction is used so...
This invited paper gives an overview of road safety statistics and a summary of advanced driver assistance systems that have recently been deployed. The science and technology behind popular automotive vision systems, such as traffic sign recognition, is briefly explained and the processing requirements of vision algorithms are presented in the context of automotive environment. There are many opportunities...
This invited paper gives an overview of road safety statistics and a summary of advanced driver assistance systems that have recently been deployed. The science and technology behind popular automotive vision systems, such as traffic sign recognition, is briefly explained and the processing requirements of vision algorithms are presented in the context of automotive environment. There are many opportunities...
Vehicle license plate identification system is an image-processing technology used to identify vehicles by their license plates. This technology is used in various security and traffic applications. This data is also used for enforcement, data collection, and can be used to keep a time record on the entry or exit of vehicles for automatic payment calculations. The significant advantage of this system...
The process of grading Malaysia Pepper berries are still semi-automatic. One of the grading criteria is based on the extraneous and foreign matters that exist in pepper berries samples. Therefore, in this paper we propose image processing techniques to identify the foreign matter. We analyse the number of foreign matters in the image and locate them using the xPepper Identification System. Our finding...
Recent mobile device and vision technology advances have enabled mobile Augmented Reality (AR) to be serviced in real-time using natural features. However, in viewing augmented reality while moving about, the user is always encountering new and diverse target objects in different locations. Whether the AR system is scalable or not to the number of target objects is an important issue for future mobile...
In order to satisfy the robot assisted surgery requirment to automatic identify the object in high precision. Regard the ellipse and the circle as a template. The ellipse and the circle are all contained the black block and the white block interactively. The corners in the image are detected by the Shi and Tomasi' algorithm. After the image enhanced for improving the contrast of the image, using the...
We develop a new perspective invariant feature space representation of remotely sensed objects, regarding the features themselves as primitive observables of the 3D objects and to estimate them from multiple sensor measurements. This is formulated as an inverse problem in the feature coefficients. Once the coefficients are estimated they may be used to derive higher level features used by machine...
Object-oriented change detection is more practical than per-pixel change detection when we survey change information of land-use using remote sensing image. A kind of land-use change detection based on patch objects of remote sensing image is studied in this paper. The patch objects of image come from the polygons of historical vector land-use map. The method calculates the weighted correlation coefficient...
Mathematical morphology is widely used in the area of signal and image analysis. It has enormous applications in detection of weak targets, object recognition and feature extraction, edge detection, image enhancement and many more. However, its use has long been hampered by its algorithmic complexity as the size of the structuring element or image grows. With the trend toward larger images and proportionally...
Thailand is an agricultural country, where is located in Southeast Asia. We can produce various kinds of food in not only a good quality but also a huge quantity. One problem of both quality and quantity control of our food products are the food harmful pests such as bird, ant, weevil, aphid, grasshopper etc. Therefore, this project intends to develop the computer system that can be chased birds from...
This paper presents a novel method for recognizing the channel logos from the streamed videos in real time, which has various applications for value added services in the connected TV space. The results presented are based on the accuracy and performance in terms of time complexity of the channel logo recognition algorithm. The prototype is developed in X86 platform and then ported on a commercially...
Edge detection is one of the key stages in image processing and object recognition. The Canny edge detector is one of the most widely-used edge detection algorithms due to its good performance. In this paper, we present a distributed Canny edge detection algorithm that results in significantly reduced memory requirements, decreased latency and increased throughput with no loss in edge detection performance...
Tolerance (“invariance”) to identity-preserving image variation (e.g. variation in position, scale, pose, illumination) is a fundamental problem that any visual object recognition system, biological or engineered, must solve. While standard natural image database benchmarks are useful for guiding progress in computer vision, they can fail to probe the ability of a recognition system to solve the invariance...
Object recognition is a key problem in the field of computer vision. However, highly accurate object recognition systems are also computationally intensive, which limits their applicability. In this paper, we focus on a state-of-the-art object recognition system. We identify key computations of the system, examine efficient algorithms for parallelizing key computations, and develop a parallel object...
Biologically-inspired machine vision algorithms - those that attempt to capture aspects of the computational architecture of the brain - have proven to be a promising class of algorithms for performing a variety of object and face recognition tasks. However these algorithms typically require a large number of arithmetic operations per image frame evaluated. Meanwhile, the increasing ubiquity of inexpensive...
Object recognition systems need effective image descriptors to obtain good performance levels. Currently, the most widely used image descriptor is the SIFT descriptor that computes histograms of orientation gradients around points in an image. A possible problem of this approach is that the number of features becomes very large when a dense grid is used where the histograms are computed and combined...
High Dynamic Range Imaging is a inevitable step in machine vision for a high dynamically illuminated environment. In cost-wise aspect it is better to convert the high dynamic image to a low dynamic one with preserving the maximum information with the help of Tone Reproduction Algorithm. Another essential feature in colour based object recognition is colour constancy, especially in identifying metal...
This project presents Field Programmable Gate Array (FPGA) based solution for an object tracking system. The tracking design was applied in FPGA as rich information of FPGA offers one of the more powerful methods in object tracking. Object tracking system has a very useful application in many real world situations which require object detection. In general, a lot of different algorithms are used in...
In this paper we address the issue of recognizing nonstandard Malaysian car license plates. These plates contain nonstandard characters such as italic, cursive and connected letters, which most plate recognition systems are unable to recognize. We propose a technique using stroke extraction and analysis to recognize these nonstandard characters. The proposed technique first extracts the contour of...
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