object detection
Method of Object Detection for Mobile Robot
... of object detection, which are object generation, where the locations of possible objects are in an image and object verification, where tests are performed to verify the presence of ...
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Thermal 3D mapping for object detection in dynamic scenes
... The automatic analysis of 3D point clouds has become a crucial task in photogrammetry, remote sensing and computer vision. Whereas modern range cameras simultaneously provide both range and intensity images with high ...
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A fast neural-dynamical approach to scale-invariant object detection
... Concerning object detection and localisation in complex images, like in robotic scenarios, there are several main approaches: (i) sliding windows which apply a classifier at every image position and every ...
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Object detection with artificial vision and neural networks for service robots
... for object detection, the coordinates of the bounding box and the name of the object, which can be somewhat ...of object in real-time, even though it must be somewhat ...
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APPLICABILITY EVALUATION OF OBJECT DETECTION METHOD TO SATELLITE AND AERIAL IMAGERIES
... employ object detection before object recognition can save a computational time and cost, and thus take a significant ...whether object detection method can perform well on satellite ...
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Object Detection in Multi-view 3D Reconstruction Using Semantic and Geometric Context
... based detection and recognition are making progress using better descriptors and learning methods (Tuermer, 2011), others are seeking to use more information than just the pixels in a given ...for object ...
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Embedded Object Detection with Radar Echo Data by Means of Wavelet Analysis of MRA: Multi-Resolution Analysis
... embedded object detection with radar echo data by means of wavelet analysis of MRA: Multi- Resolution Analysis, in particular, three dimensional wavelet transformations is ...embedded object ...
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Moment feature based fast feature extraction algorithm for moving object detection using aerial images.
... in object location and ...the object position in the next frame should be close to its position in the current ...moving object detection depending on a substantial number of ...
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USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION
... selective object detection in an image is getting an increasing ...Such detection is highly demanded for optimization of recognition algorithms based on Deep Learning, which provides high quality ...
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Dynamic Object Detection, Tracking and Counting in Video Streams for Multimedia Mining
... Related work in the area of traffic surveillance is discussed here. Koller et al., [15] , [16], has described algorithms that uses an offline camera calibration step to aid the recovery of the 3D images, and it is also ...
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Multi-scale cortical keypoint representation for attention and object detection
... keypoint detection [4, 13, 15] and line/edge detection schemes [3, 13, 14], including dis- parity models [2, 9, 12], have become ...for object categorization and ...
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Object detection and recognition in complex scenes
... real-time object recognition even when other cues like colour and texture are present ...rapid object categorisation can be plausibly explained by a feedforward architecture, given the multi-stage ...
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Amorphous silicon e 3D sensors applied to object detection
... One of the major disadvantages of crystalline silicon PSDs is their high cost due to a costly production process. On top of that, complex and expensive optical systems are necessary in order to be able to utilize their ...
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Autobot Evolution: A Futuristic approach
... The equations of the road surface are used for obstacle/road point separation and therefore object detection works even on non-flat road scenarios. The over-rode 3D points are grouped into objects taking ...
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Integrated Applications with Laser Technology
... Being given a certain image, the light point (Red, Green) may be easily detected; Bowden [5] even explains in his paper some methods of object detection, movement detection, b[r] ...
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Intelligent Nighttime Video Surveillance Using Multi-Intensity Infrared Illuminator
... foreground object detection by the Method (ii) than by the Method ...foreground detection accuracy while the Method (ii) does not need such ...false detection of foreground objects of the ...
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Object & bridge detection of gis images using pattern recognition and knowledge base
... Remote sensing is becoming an area of pattern recognition. In this thesis lot of work is going in research area for pattern recognition is remote sensing. So, it is necessary to develop this area for getting more ...
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Improved line/edge detection and visual reconstruction
... edge detection, a scheme that can be used for creat- ing a truly multi-scale image representation suitable for object detection/recognition and visual ...
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Multi-scale keypoints in V1 and beyond: object segregation, scale selection, saliency maps and face detection
... keypoint detection (Heitger et ...line/edge detection schemes (Grigorescu et ...addition, object detection, categorisation and recognition can be obtained by means of bottom-up and top-down ...
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Morphing Estimated Human Intention via Human-Robot Interactions
... First step is related to low level object detection and tracking by using background subtraction and matching techniques. In this step, people and robots are detected and tracked in a video sequence with a ...
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