The Haar-like features
Haar-like-features for query-by-string word spotting
... [email protected] Abstract. This paper addresses the problem of word spotting in handwritten documents. The method is segmentation-free and follows the query-by-string paradigm. In the paper, we focus on the ...
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Informed Haar-like Features Improve Pedestrian Detection
... multi-channel Haar-like features represent characteristic differences be- tween parts of the human body yet are robust against vari- ations in clothing or environmental ...rectangle features ...
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Face recognition smart cane using haar-like features and eigenfaces
... using Haar-Like Features can be used as a tool aid for blind to recognize the other person as long there is one face is captured on camera with average delay 3 ...
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Real time computation of Haar like features at generic angles for detection algorithms
... the Haar-like features for any given ...of Haar-like features, including features that compute areas at 45 o , ...normal features) a conversion is made using a pair ...
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Nao detection with a cascade of boosted weak classifier based on Haar-like features
... simple Haar-like features that acts as a strong classifier, could achieve competitive performance compared to the current state of the art in Nao Robot ...
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Baseline Avatar Face Detection using an Extended Set of Haar-like Features
... AdaBoost (Adaptive Boosting) Algorithm AdaBoost algorithm, invented by Schapire and Freund (Schapire 1999), helped in solving many practical difficulties faced by the earlier boosting algorithms. It initially distributes ...
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Cervical Vertebral Corner Detection using Haar-like Features and Modified Hough Forest
... radiographs. Haar-like features are computed using intensity and gradient image patches, each of which votes for possible corner position using a modified Hough forest regression ...
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Real-time Detection of Vehicles Using the Haar-like Features and Artificial Neuron Networks
... the haar like features 12,13 and to cascade a set of called weak classifiers to construct a strong classifier, forming a boosting algorithm ...
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Real time hand tracking using a set of cooperative classifiers based on Haar like features
... Invariant features would have the advantage of dealing with translation, scaling, rotation and lighting changes, but often they lack of the important property of uniquely correlating to a certain ...non-invariant ...
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ECG Image Classification in Real time based on the Haar-like Features and Artificial Neural Networks
... the haar like features from the paper scanned images of normal ...nickname haar 8 extracts the information contained in each integral image, calculated as a feature ...
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Human Eye Blink Detection using YCbCr Color Model, Haar-Like Features and Template Matching
... B. Haar Classifier The core basis for Haar classifier object detection is the Haar-like ...These features, rather than using the intensity values of a pixel, use the change in contrast ...
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Detection of fake shallots using website-based haar-like features algorithm
... Sha llots is commonly used as essential cooking spices or complement sea soning. The high market demand for this commodity has triggered some people to counterfeit it. They mix the sha llots with defective products of ...
Vehicle Identification Based on Haar-Like Compression Feature
... the haar-like features with a new AAM under the guidance of the compressive sampling theory, the improved algorithm saves over 10 hours compared with the traditional ...
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Haar Features Based Face Detection and Recognition for Advanced Classroom and Corporate Attendance
... There are three major blocks in Viola-Jones algorithm; Integral Images, Ada-Boost Algorithm and Attentional cascade. The integral image computes a value at each pixel for example (x,y) that is the sum of the pixel values ...
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AN ENHANCED HYBRID CUCKOO SEARCH AND GENETIC ALGORITHM USING HAAR-LIKE FEATURE FOR SURVEILLANCE VIDEOS.
... Haar-like features: The Haar-like features is commonly used by Ada boost learning ...rectangle features is done, since these features consider a local region for ...
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Learning image descriptors for matching based on Haar features
... gradient features in each pooling region are aggregated by ...reduction, like PCA-SIFT (Ke & Sukthankar, 2004), which lowers the descriptor from 128 dimensions to 36 dimensions by PCA, but applying PCA ...
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Segmenting Metals in Optical Microstructure Images using Haar Features
... using Haar features Haar-like feature is used in this work is the absolute difference between mean of pixel intensities in shaded rectangles and the white region of the ...the Haar ...
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Real Time Animal Detection System using HAAR Like Feature
... limitation like lighting problem and speed of the animal cannot monitor, then this paper also showed the templet matching mechanism using the normalize cross correlation method to detect the animal but this animal ...
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Realtime On-Road Vehicle Detection with Optical Flows and Haar-Like Feature Detectors
... Urbana, IL 61801 Abstract An autonomous vehicle is a demanding application for our daily life. Such vehicle requires to detect other vehicles on the road. Given the sequences of images, the algorithms need to find other ...
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A Two-Staged Approach to Vision-Based Pedestrian Recognition Using Haar and Hog Features
... This article presents a two-staged approach to recognize pedestrians in video sequences on board of a moving vehicle. The system combines the advantages of two feature families by splitting the recognition process into ...
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