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A compact video processing system which deals with video detecting, compressing and recording is designed on DSP. And in order to find a balance among hardware resources (prime cost), processing speed, detecting performance, system stability and system reliability, further algorithm and processing mechanism optimizations are proposed. This system does automatic surveillance of an unattended area installed...
In this paper we present a class of emergent algorithms called Marching Pixels which can be used for real time image processing in smart camera chips. Marching Pixels are based on hardware agents which are virtually crawling in a pixel grid image to find attributes like centroid, rotation and size of an arbitrary number of objects given in an image. Due to the distributed and local processing scheme...
A novel approach for counting people passing through a region where is surveilled by a parallel-fixed binocular camera is proposed in this paper. Firstly, two virtual counting lines are set to obtain four line space-time gray images. Then an integrated algorithm based on binocular stereovision and regional gray projection is proposed to extract and split overlapped moving objects in complex counting...
In order to improve the precision of tracking in real-time, the bandwidth of tracking should be changed according to the change of object's scale. Based on mean shift algorithm and the target center in every frame located by probability method, this thesis puts forward a self-adaptive algorithm for updating views. Then by combining the normalized moment of inertia (NMI) feature, the center of tracking...
Corner detection is an important step in the image processing of machine vision. An improved algorithm is proposed in this paper following the analysis on the existing corner detection algorithms and on the localization precision and computation efficiency in the Harris corner detection algorithm. In this algorithm, a large number of irrelevant points are rejected by statistical analyzing the pixel...
Object Counting is a challenging problem with different solutions based on the available computing power and the nature of data to be processed. Memory efficiency, simplicity and speed are very important requisites for algorithms to be used in modern day systems which include distributed systems and wireless sensor networks where it is extremely advantageous to do basic preprocessing of data from...
Tracking moving targets in sequence images is an essential key technology and one of the hot research topics in Computer Vision. This system is based on an embedded system platform named Embedded Star and makes full use of the OpenCV (Intel?? open-source computer vision library)to implement and optimize the Mean Shift tracking algorithm. At last, it achieves the objective of real-time tracking and...
Detecting and segmenting moving object is an important subject in computer visual analysis. Firstly, this paper discusses algorithms of detecting moving target from static background in video sequences. Secondly, as the existing mixture Gaussian models can't solve the problems such as ghost and real-time application, a new method based on moving edge detection of difference between adjacent frames...
In this paper, we propose a novel method that combines improved chain codes based edge tracking (ICCBET) with Hough transform (HT) to successfully detect the airport runway in real time. ICCBET primarily removes the short and curving lines to reduce the pixels and confirms the approximate orientation to shorten the angle range HT processes in later. Furthermore, through using pyramid during HT stage,...
Background modeling is the key technique of video surveillance. An improved box-based codebook modeling method is presented. The background model is constructed by encoding each pixel into a codebook consists of codewords based on a box model. It can handle cluttered background and allow moving objects in the training video sequences. The box-based codebook model representation is efficient in memory...
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