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The Histogram Probabilistic Multi-Hypothesis Tracker is a multi-target track before detect method with low computational complexity. However, for high resolution sensors with millions of pixels, a naive implementation can be too slow. Single target chip processing is proposed as an approximate implementation scheme that dramatically reduces computation cost without significant performance degradation...
Image matching is widely used in machine vision, computer technology, industry and agriculture and other fields. Matching the characteristics of traditional methods such as SIFT has advantages of compressed information quantity, high precision, but there are also some deficiencies such as the large of calculation, long time, the object to be measured of position should be required accurately and etc...
In this paper we introduce the Embedded Vision Engine (EVE), a novel vision accelerator designed to complement digital signal processors on low- and mid-level vision algorithms. We illustrate EVE's performance on three important mid-level vision functions, the Hough transform for circles, integral image and calculating the Rotation invariant Binary Robust Independent Elementary Feature (RBRIEF) descriptor...
Differential Evolution (DE) algorithm represent an adaptive search process for solving engineering and machine learning optimization problems. This paper presents an attempt to demonstrate its adaptability and effectiveness for searching global optimal solutions to enhance the contrast and detail in a gray scale image. In this paper contrast enhancement of an image is performed by gray level modification...
This paper proposes an improved shot segmentation algorithm based on color histograms for decompressed videos. Firstly, we quantify the HSV color space non-uniformly and divide the images into 9 different sub-blocks, to which different weight values are set. Then, we calculate the color histogram of each sub-block in the HSV color space and compare the histogram differences of adjacent frames with...
In this paper, theoretical properties of a maximum-likelihood (ML) estimator of signal-to-noise ratio (SNR) is discussed. The three-paremter sine fit algorithm is employed on a finite and coherently sampled measurement set corrupted by additive white Gaussian noise. Under the Gaussian noise model, the least squares solution provided by the three-parameter sine fit is also ML estimator. Exact distribution...
Color-invariance property of objects is effectively employed for developing non-rigid object tracking algorithms in the field of computer vision. This paper develops a novel color-based tracking algorithm for non-rigid 3-D objects with multiple colors. Especially, the proposed particle filter method can track the targets even if the appearance /disappearance of color regions were occurred by self-occlusion...
The median filter is a non-linear filter used for removal of salt and pepper noise from images. Each pixel of the image is replaced by the median of its surrounding elements, the median value is calculated by sorting the data. The complexity of the sorting algorithms used on the median filters are O(n2) or O(n), depending on the kernel size. Those algorithms were formulated for scalar single processor...
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