Results 331 to 340 of about 5,152,243 (358)

Compressive tracking with locality sensitive histograms features

2017 IEEE International Conference on Robotics and Automation (ICRA), 2017
Currently, Compressive Tracking (CT) method has drawn great attention because of its high efficiency. However, it cannot well deal with some appearance variations due to its limitations of feature expression and it only uses a fixed parameter to update the appearance model. In order to handle such matters, we propose an adaptive CT method that combines
Zhuo Zhang, Shengyong Chen, Xiaolong Zhou, Sixian Chan   +3 more
openaire   +2 more sources

Histogram ratio features for color texture classification

Pattern Recognition Letters, 2003
This paper presents a color texture classification method using ratio features extracted from the color histogram. Combining pairs of bins and computing corresponding count ratios, ratio features are created that characterize the given color texture in an auto-correlative sense.
George Paschos, Maria Petrou
openaire   +2 more sources

Fuzzy integrals for combining multiple SVM and histogram features for writer's gender prediction

IET Biometrics, 2017
This study addresses automatic prediction of the writer's gender. We propose the use of fuzzy integral (FI) operators to combine support vector machines (SVMs) associated with different local features.
Nesrine Bouadjenek, H. Nemmour, Y. Chibani   +2 more
semanticscholar   +1 more source

The histogram feature - a resource-efficient Weak Classifier

2008 IEEE Intelligent Vehicles Symposium, 2008
This paper presents a Weak Classifier that is extremely fast to compute, yet highly discriminant. This Weak Classifier may be used in, for example, a boosting framework and is the result of a novel way of organizing and evaluating Histograms of Oriented Gradients.
Lars Petersson, Lars Andersson, Niklas Pettersson   +2 more
openaire   +2 more sources

Vibration signal analysis using histogram features and support vector machine for gear box fault diagnosis

, 2017
This paper discusses about the extraction of histogram features from the vibration signal of the different conditions of the gear box under investigation, and the application of machine learning method, support vector machine in machine condition ...
S. Natarajan
semanticscholar   +1 more source

Extended Histogram of Gradients feature for human detection

2010 IEEE International Conference on Image Processing, 2010
Unsigned Histogram of Gradients (UHoG) is a popular feature used for human detection. Despite its superior performance as reported in recent literature, an inherent limitation of UHoG is that gradients of opposite directions in a cell are mapped into the same histogram bin.
Xudong Jiang, Amit Satpathy, How-Lung Eng   +2 more
openaire   +2 more sources

Vehicle logo recognition by weighted multi-class support vector machine ensembles based on sharpness histogram features

IET Image Processing, 2015
Classical methods recognise vehicle logos with image feature matching approaches. Different from these methods, this study proposes a novel algorithm to recognise the vehicle logos in real time by constructing the weighted multi-class support vector ...
Jianli Xiao, Wenshu Xiang, Yuncai Liu
semanticscholar   +1 more source

Steganalysis of Compressed Speech Based on Histogram Features

2010 International Conference on Computational Intelligence and Software Engineering, 2010
A steganalysis method for analysis-by-synthesis compressed speech based on the histogram features of the pulse position parameter is proposed in this paper. Speech compressed by G.729 coder is taken as an example to illuminate the algorithm. On the basis of analysis to the pulse position histogram characters of cover and stego speech, a new feature ...
Qi Ding, Xijian Ping
openaire   +2 more sources

Texture segmentation based on local feature histograms

2011 18th IEEE International Conference on Image Processing, 2011
This paper presents a convex vector-valued active contour model for texture segmentation. This model uses histograms of the semi-local region descriptor and image intensity for measuring the similarity of image regions. We use the Quadratic-Chi histogram distance to compare the dissimilarity of histograms.
Jian Yu, Liyan Ma
openaire   +2 more sources

Proposal of Novel Histogram Features for Face Detection

2005
This paper presents novel features for face detection in the paradigm of AdaBoost algorithm. Features are multi-dimensional histograms computed from a set of rectangles in the filtered images, and they represent marginal distributions of these rectangles.
Tianwen Zhang, Haijing Haijing, Peihua Li   +2 more
openaire   +2 more sources