[PDF] Top 20 Object Detection and Visual Innovation using AR
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Object Detection and Visual Innovation using AR
... different visual interface to make a system wherever the user United Nations agency scans the objects through the phone or a visible interface enters the increased reality section and might simulate or move the ... See full document
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IJCSMC, Vol. 3, Issue. 3, March 2014, pg.1018 – 1023 RESEARCH ARTICLE A NOVEL APPROACH TO ENHANCE OBJECT DETECTION USING INTEGRATED DETECTION ALGORITHMS
... the detection of object. The object detection is very ...the object detection many technologies are ...an object. It recognize a particular object not the noise or ... See full document
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Detection and classification for group moving humans
... Moving object detection is the basic step for further analysis of ...for object detection are background subtraction, statistical models, temporal differencing and optical ...wind ... See full document
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Object Detection Using SURF and Superpixels
... novel object detection method in which a set of local features inside the superpixels are extracted from the image under analysis acquired by a 3D visual ...analysis, using the Simple Linear ... See full document
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Vision-Based Object Tracking Algorithm With AR. Drone
... Object detection and segmentation is the most important and challenging fundamental task of computer ...of object classes and ...an object from an image is the color based methods. The ... See full document
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Object Detection, Extraction and Classification using Image Processing Technique
... of object extraction is to change the representation of an image into something more ...an object from the image first we have to segment the entire ...by using the markers and then the algorithm ... See full document
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Application of Hill Climbing Algorithm as Data Mining Technique for Surveillance of Real Time Video Streams
... Abstract: Data mining is the application of statistical techniques and programmatic algorithms to discover previously unnoticed relationships within the data. Video surveillance has long been in use to monitor security ... See full document
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Object Detection using Deep Learning
... face detection systems lead to the development of accurate object detection system ...every object in an image by drawing bounding boxes around the object ...for Object ... See full document
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ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering
... The perceptual-conceptual pieces described above are now connected in an agent record type (Equa- tion 17 and Equation 18, cell 21) with associated manipulation algorithms (cell 25). Upon receiving an image, it will ... See full document
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Abandoned Object Detection using SVM Classifier
... for detection of abandoned objects. The object detection is done by background subtraction with the help of appropriate ...Face detection is done by extracting features and can be captured ... See full document
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Object Detection in Videos using Shot Clustering
... In the recent years the rapid progress in computer technologies there has been an increase in the amount of visual information. This information is generated, stored, accessed, transmitted and analyzed. As the ... See full document
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Animate Object Detection Using Deep Learning
... Object detection is one of the most fundamental yet challenging problems in computer vision community. The human brain is a very powerful machine. We see multiple images every second and process them ... See full document
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Object Detection in an Image using Deep Learning
... Object detection is developing from the single object recognition to the multi-object ...Every object category has its own special option that helps in classifying the category, for ... See full document
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Moving Object Detection via Color Optical Flow and Visual Objectness Measurement
... moving object detection problem in this paper is viewed as the two stage positioning ...the visual significant color optical flow is constructed according to the Opponent color ...moving ... See full document
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Automatic Foreground object detection using Visual and Motion Saliency
... specific object detectors or classifiers in ...foreground object for ...foreground object regions by minimizing the cost between adjacent hidden nodes/pixels in terms of color, motion, ...foreground ... See full document
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Robust Design of Architecture of Multimedia Database System
... With the rapid development of deep learning, the accuracy of object detection is dramatically increased. Image annotation becomes more important in Content-based Image Retrieval. In addition, different ... See full document
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Motion Object Detection Using Mean Square Error Method
... CCTV ordinance and its installation are progressively being used in public facilities and organizations, as part of an effort to prevent child-related sexual offense or common place criminal acts. The environments ... See full document
5
A Survey on Smart App for Visually Impaired (SAVI)
... obstacle detection and aid in ...the object from the image which is obtained from the camera and localization and identification are conducted from the image and videos The embedded device detects the local ... See full document
5
Intelligent Systems that Emerges ‘Visual Generic Object Recognition’
... The training set consists the cropped images of faces of the candidate and also non-faces objects with a common resolution which is generally 24 x 24 pixels, thus training set have positive and negative examples. Here ... See full document
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VISUAL OBJECT TRACKING AND DETECTION IN COMPUTER VISION
... Visual tracking is one of the most important topics in computer vision due to its wide potential applications, such as motion analysis, video surveillance, and human–computer interaction. This paper proposed a ... See full document
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