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object localization

A Survey on Efficient Object Localization and Image Classification for Thumbnail Browsing

A Survey on Efficient Object Localization and Image Classification for Thumbnail Browsing

... A binary segmentation step is then applied to find the salient object, but there is a problem of noisy regions yielded from bounding box based training images. To avoid this defect and achieve global optimization, ...

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Iterative Object Localization Algorithm Using Visual Images with a Reference Coordinate

Iterative Object Localization Algorithm Using Visual Images with a Reference Coordinate

... The object localization is one of the key operations in many tracking applications such as surveillance, monitoring and tracking ...the object localization is very critical and poses a ...

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MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

... 3D object localization from a monoc- ular RGB image via geometric reasoning in both the ob- served 2D projection and the unobserved depth ...2D object detec- tion, instance depth estimation (IDE), 3D ...

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Efficient object localization using sparsely distributed passive RFID tags

Efficient object localization using sparsely distributed passive RFID tags

... This paper addresses the major technical issues of how to use passive RFID localisation systems to efficiently achieve the object localisation with high accuracy and precision. By identifying the influencing ...

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Embedded neural network design on the ZYBO FPGA for vision based object localization

Embedded neural network design on the ZYBO FPGA for vision based object localization

... a object detector which treats detection as a regression prob- lem in one single CNN that outputs bounding boxes and class probabil- ...more object detectors are based on similar methods which extract the ...

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Simultaneous two-color imaging in digital holographic microscopy

Simultaneous two-color imaging in digital holographic microscopy

... After registration, we crop the image stacks to a region of interest of 256 × 256 pixels, in order to optimize the FFT operations. To minimize the total number of calculations, the Rayleigh- Sommerfeld propagator arrays ...

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Robust Background Subtraction with Foreground Validation for Urban Traffic Video

Robust Background Subtraction with Foreground Validation for Urban Traffic Video

... Identifying moving objects in a video sequence is a funda- mental and critical task in video surveillance, traffic moni- toring and analysis, human detection and tracking, and ges- ture recognition in human-machine ...

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Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection

Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection

... supervised localization is seen as controlling a sequence of actions to change the fixation area and identify the target ...of object localization as a Markov decision process (MDP) because this ...

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Techniques and Methods for Detection and Tracking of Moving Object in a Video

Techniques and Methods for Detection and Tracking of Moving Object in a Video

... Background subtraction, also known as Foreground Detection, is a technique in the fields of image processing and computer vision wherein an image's foreground is extracted for further processing (object ...

6

Processing Overlapped Cells Using K-Means and Watershed

Processing Overlapped Cells Using K-Means and Watershed

... " Object Localization in medical images using genetic algorithm " where the red blood cells clustered into two classes: overlapped and non overlapped cells where the proposed system success rate was ...

5

Object Search and Localization for an Indoor Mobile Robot

Object Search and Localization for an Indoor Mobile Robot

... and localization of objects with a mobile robot using a monocular camera with zoom ...in object recognition by utilizing a combination of an attention mechanism and zooming as the first steps in the ...

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Electrolocation based on tail bending movements in weakly electric fish

Electrolocation based on tail bending movements in weakly electric fish

... target object and can be used as a distance ...the object localization or some electrolocation rule with tail bending, but the biological behaviors mentioned above suggest a possibility using the ...

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A FUZZY APPROACH FOR REPRESENTATIVE NODE SELECTION IN CROSS LAYER TCP

A FUZZY APPROACH FOR REPRESENTATIVE NODE SELECTION IN CROSS LAYER TCP

... vehicle object, as it would appear along with the model if it was positioned in the centre of the junction ...vehicle object is expected to be visible in the image (this of course based on screening crown ...

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A Survey on Portable Camera Based Assistive Text and Product Label Reading From Hand Held Objects for Blind Persons

A Survey on Portable Camera Based Assistive Text and Product Label Reading From Hand Held Objects for Blind Persons

... the object from cluttered backgrounds or other surrounding objects in the camera view, first developed an efficient and effective motion based method to define a region of interest (ROI) in the video basking the ...

5

Robotic Motion and Path Planning Via Iterative Method Using Laplacian Technique

Robotic Motion and Path Planning Via Iterative Method Using Laplacian Technique

... as object manipulation and navigation, with sub-problems of localization (knowing where you are, or finding out where other things are), mapping (learning what is around you, building a map of the ...

8

Ground Robot Navigation Relies on Blimp Vision Information

Ground Robot Navigation Relies on Blimp Vision Information

... [2]. The blimp robot not only creates a good opportunity to explore the environments, but also it increases the efficiency of the exploration since it has many advantages over the small airplanes robots such as long time ...

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Implementation of the Hough Transform for Iris Detection and Segmentation

Implementation of the Hough Transform for Iris Detection and Segmentation

... The importance of correct iris segmentation without losing the properties of the image is not only relevant for the authentication and security systems, but also for the health area, mainly where the iris is the ...

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Motion Localization with Optic Flow for Autonomous Robot Teams and Swarms

Motion Localization with Optic Flow for Autonomous Robot Teams and Swarms

... An overview of the scene is given in Figure 4. The path followed by the per- son is given in green, as tracked using a Vicon marker helmet. Black points are the estimated coordinates. Red vectors give the estimated scene ...

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Real time Visual SLAM for mobile robot navigation and object detection : a thesis presented in partial fulfilment of the requirement for the degree of Doctor of Philosophy in Engineering at Massey University, Albany, New Zealand

Real time Visual SLAM for mobile robot navigation and object detection : a thesis presented in partial fulfilment of the requirement for the degree of Doctor of Philosophy in Engineering at Massey University, Albany, New Zealand

... Depth information is a trend of vision application. The conventional way of obtain depth in- formation is stereo vision, which is a process of solving correspondence between a pair of im- ages. However, this process ...

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Real time Visual SLAM for mobile robot navigation and object detection : a thesis presented in partial fulfilment of the requirement for the degree of Doctor of Philosophy in Engineering at Massey University, Albany, New Zealand

Real time Visual SLAM for mobile robot navigation and object detection : a thesis presented in partial fulfilment of the requirement for the degree of Doctor of Philosophy in Engineering at Massey University, Albany, New Zealand

... An Extended Kalman Filter (EKF) based Visual SLAM method and an iterated video frames module integrated in the EKF are developed. The Visual SLAM method can handle feature de- tection and corresponding depth measurements ...

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