[PDF] Top 20 Reasoning with visual knowledge in an object recognition system
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Reasoning with visual knowledge in an object recognition system
... develop a high-level inference system that implements reasoning processes and utilizes a visual memory model to achieve object recognition in a specific.. domain.[r] ... See full document
294
Visual Image Recognition System with Object-Level Image Representation
... and object recognition in order to achieve the best system efficiency and ...image recognition and retrieval ...the object recognition tech- niques. The object modeling ... See full document
170
Distributed object recognition in Visual Sensor Networks
... As illustrated in the figures, the DOR scheme achieves the best performance in terms of latency as the number of cameras increases, thus confirming the validity of the dis- tributed matching/object ... See full document
6
Bottom-up Object Segmentation for Visual Recognition
... 3. Object Recognition as Ranking Holistic Figure-Ground Hypotheses Abstract We present an approach to visual object-class segmentation and recognition based on a pipeline that combines ... See full document
104
Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition
... transfer knowledge among different attributes; (6) DeepMAR (Li, Chen, and Huang 2015) is a joint at- tribute learning model which considers inter-attribute cor- relation by weighted cross entropy loss function; ... See full document
8
Invariant visual object recognition : biologically plausible approaches
... invariant visual object recognition in the ventral visual system is assessed to investigate whether they account for these ...performs object classification with random exemplars ... See full document
32
Intelligent Systems that Emerges ‘Visual Generic Object Recognition’
... Generic Object Recognition, Feature Extraction, Face Detector, Intelligent Systems, Object Classification, Object Detection, Haar Feature ...NTRODUCTION Object Recognition gives ... See full document
7
Design and implementation of a system for incremental real-time visual object detection and autonomous recognition
... surveillance. System architectures such as Citric 1 , HuSIMS, OmniEye, Wi-FLIP, CamInSens 2 , MeshEye are ...used, system software used, whether camera overlaps or not, how security is ...The system ... See full document
58
Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content
... recent object classification ...activity recognition set, with the challenge to distinguished 65 cooking activities in both, a classification and detection ...different object categories, ...activity ... See full document
206
Declining object recognition performance in Semantic Dementia a case for stored visual object representations
... semantic system is most likely to adversely affect responses to objects that are neither commonly encountered nor typical of the category (Patterson et ...and object recognition accuracy - that is, ... See full document
35
A Neurodynamical cortical model of visual attention and invariant object recognition
... earlier visual areas (V 1, V 2) to higher ventral stream visual areas (V 4, ...cortical visual system to be explored, because it incor- porates several aspects of the cortical architecture of ... See full document
22
Self-Organization of Spiking Neural Networks for Visual Object Recognition
... of visual objects can vary drastically with changes of viewing ...our visual system is capable of recognizing objects fairly invariant of viewing ...same object tend to occur in temporal ... See full document
83
Unfalsified visual servoing for simultaneous object recognition and pose tracking
... 3D object recognition and pose registration technologies have been developed with success in many practical applications, such as marker-less augmented reality [6], visual servoing on unknown objects ... See full document
15
A system for visual object tracker optimization and analysis
... [23] Matej Kristan, Aleˇs Leonardis, and Danijel Skoˇ caj. Multivariate online kernel density estimation with gaussian kernels. Pattern Recognition, 44(10):2630–2642, 2011. [24] Matej Kristan, Jiri Matas, Ales ... See full document
80
Cloud based object recognition: A system proposal
... RoboEarth is a project which goal has been to “create a World Wide Web” for robots [18]. RoboEarth is a collection of databases storing actions, objects data and environments data. These databases are shared amongst ... See full document
10
Interactions of visual attention and object recognition : computational modeling, algorithms, and psychophysics
... the visual system with an effective set of features suitable for the detection task and a mapping from these features to an abstract representation of the ...between object detection and top-down ... See full document
147
Visual-based interface using hand gesture recognition and object tracking
... using visual-based communication. Scene analysis, object recognition and tracking, together with gesture detection and classification, are employed to design and implement a system for real ... See full document
15
Performance Evaluation and Study of Bag of Visual Words and Cascade Classifiers in Object Recognition
... 2. SYSTEM DESIGN The visual categorization is an important task in the computer vision, and it is widely used for the object ...many recognition algorithms there is trade-off between the ... See full document
5
Visual Object Recognition
... o Model shape using Gaussian distribution on location between parts.. o Model appearance as pixel templatesy[r] ... See full document
27
Visual object recognition and tracking
... The present invention provides a new method for identify- ing and tracking an object from two-dimensional data picto- rially representing said object by an object-tracking system through[r] ... See full document
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