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The Researchof Visual Tracking Based on DSP System

Author: TianJing
Tutor: SunJie
School: Tianjin University of Technology
Course: Signal and Information Processing
Keywords: DSP Target Detection Target Tracking Machine Vision
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 62
Quote: 1
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Abstract


The rapid development of the DSP technology has brought enormous vitality to various fields in the image processing during the last three decades. The digital image processing based on DSP has been widely used in daily production and life. Target detection and tracking technology become the focus gradually in the research areas of digital image processing and machine vision. This paper focuses on three aspects: Development of TDS642EVM, the application of image preprocessing and the algorithm research of moving target detection and tracking.First, the development and designs process of TDS642EVM is analyzed in this paper. The bus architecture interrupts system, peripheral interface and working principle of DM642 is studied also. A set of real-time motion detection and tracking system is constructed under the hardware of 642EVM and corresponded software made by the author.Second, there is noise that is caused by the hardware imprecision and the interference of external light during the image generation, change and transmission reduce the image quality. So the image preprocessing is required to improve the image quality before the further process. In experiments, some cases require smoothing to reduce some of unnecessary information and some others require sharpening to highlight the edge information. This chapter discusses several methods for image smoothing and sharpening. The method gave here achieved good results in the experiments.In the part of moving target detection and tracking, three motion detection algorithms, image segmentation algorithm and a method for difference image segmentation was proposed and sufficient analysis of four algorithms of tracking (Kalman filter, particle filter, Mean Shift and Target contour) are described. Finally, the above methods was used to achieve the target detection and tracking based on DSP。The innovations of this paper include:1. The application of smoothing process in 3D profile measurement: Random noises influence the measurement precision. By analyzing the structure characteristics of the standard curve distribution of sinusoidal grating projection, a new idea of least square is proposed to smooth the noisy curve and remove the glitch. The method effectively filte the noise while preserving edge information of objects and that improves the measurement precision.2. The application of sharpening in moving target detection: When detecting moving objects with difference, the edges of moving objects contour is needed to be highlight. This article presents a frame difference operation based on gradient operator. Frame difference operation could eliminate the background information, and gradient operator enhances the edge information. The operations, with frame difference and gradient operator are able to detect the outline of moving object accurately. 3. The algorithm of automatic threshold setting for target detection: Considering disadvantages of OTSU which the gray-level histogram probability distribution should has two peaks and the gray-level histogram probability distribution of frame differencing has the feature of downward, a new algorithm which the threshold was chosen automatically according to the experiment rule of normal distribution was proposed. Experimental results indicate that this algorithm is more accurate than that of OTSU.4. DSP Platform Building: the moving object detection and tracking automatically based on DSP is realized.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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