Object Detection and Recognition
Object Detection and Recognition in Images
... - Object Recognition is a technology in the field of computer ...the object in a particular ...Here object detection is a regression problem to spatially separated bounding boxes and ...
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Object detection and recognition in complex scenes
... Resumo Object Detection and Recognition in Complex Scenes A dete¸c˜ ao e o reconhecimento de objetos em cenas complexas, utilizando apenas o contorno ou a forma, ´ e um dos problemas mais d´ıficeis ...
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Modeling Abandoned Object Detection And Recognition In Real-Time Surveillance
... abandoned object detection and recognition in real-time ...for object detection, OpenCV used for pre-processing, and other preliminary adjustments of captured video inputs in the Python ...
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Performance Analysis of Computationally Efficient Model Based Object Detection and Recognition Techniques
... V. C ONCLUSION SIFT is the scale invariant algorithm that is considered as the basis for its variations such as A-SIFT and PCA-SIFT. However, as far as the speed is concerned, the other algorithms such as SURF and HOG ...
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Design and implementation of a system for incremental real-time visual object detection and autonomous recognition
... visual object detection and autonomous recognition for smart ...cameras. Object detection and recognition are classi- cal problems in computer vision, but are still challenging ...
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Color for Object Detection and Action Recognition
... action recognition in static images. By action recognition we intend a class of problems which includes both action classification and action detection ...well object detection. The ...
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Object detection, recognition and re-identification in video footage
... human object detection using CENsus TRansformed hISTogram (CENTRIST) ...human detection com- pared to HOG and ...human recognition [60] proposed a background modeling algorithm using fussy ...
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A Survey on Real Time Object Detection, Tracking and Recognition in Image Processing
... Keywords object detection, object tracking, object recognition, survey ...Time object recognition is one among the foremost research ...The object ...
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SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
... Object detection and instance recognition play a central role in many AI applications like autonomous driving, video surveillance and medical image ...ject detection models on large scale ...
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Land-Buried Object Detection and Target-Shape Recognition in Lossy and Dispersive Soil
... Land-Buried Object Detection and Target-Shape Recognition in Lossy and Dispersive Soil Khalid ...and recognition are demonstrated through polarimetric ground penetrating ...
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Design And Develop Object Detection System For Blind People Based On CNN Image Recognition
... proposed object detection ...visual recognition becomes a popular topic and grows ...visual recognition in the pass such as scale-invariant feature transform (SIFT) and histogram of oriented ...
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Object Detection and Recognition: A Survey
... for object detection which uses different features such as flatness, texture, or ...the object movements, the hybrid template should be adaptively updated by either adjusting the feature confidences, ...
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Object Detection and Recognition in Image
... Z toho je vidět, že je tato neuronová síť dobře prakticky použitelná pro rozpoznávání 11 vybraných druhů ovoce, a to i pro vlastní fotografie uživatele, které mohou být neostré nebo méně[r] ...
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Weak Hypotheses and Boosting for Generic Object Detection and Recognition
... Schneiderman and Kanade [20] used Boosting to improve an already complex classifier. In contrast, we are using Boosting to combine rather simple classifiers by selecting the most discriminative features. Agarwal and Roth ...
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Techniques for Object Recognition in Images and Multi Object Detection
... improve the quality of the result. The method is particularly proposed for a RoboCup scenario but can also be applied to any other images if the prerequisites are met. In [11] K.Schindler, D. Suter presented a method for ...
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Methods for efficient object categorization, detection, scene recognition, and image search
... specialized object detectors tuned on the test ...on object detection and scene recognition datasets, including the chal- lenging PASCAL-VOC-2007, MIT 67, and SUN 397 ...
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Monocular 3d Object Recognition
... Outdoor detection evaluation We introduce a challenging outdoor dataset for 3D object detection containing heavy background ...each object are ...
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1. Object & bridge detection of gis images using pattern recognition and knowledge base
... Pattern recognition, Remote Sensing, Knowledge base, Object ...Pattern recognition is used to find most likely features from the input ...pattern recognition is done in many areas in which ...
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Inhibition-augmented trainable COSFIRE filters for keypoint detection and object recognition
... an object can radically change with the addition of one or more contour ...exclusive detection of vascular bifurcations ...the recognition of architectural and electrical symbols (GREC’11 data set) ...
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Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT
... text detection, SIFT and scene ...character recognition such as luminance noise, varying font styles or cluttered ...text detection in scene ...text detection and recognition ...
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