منابع مشابه
Object Recognition based on Local Steering Kernel and SVM
The proposed method is to recognize objects based on application of Local Steering Kernels (LSK) as Descriptors to the image patches. In order to represent the local properties of the images, patch is to be extracted where the variations occur in an image. To find the interest point, Wavelet based Salient Point detector is used. Local Steering Kernel is then applied to the resultant pixels, in ...
متن کاملA Biological Model of Object Recognition with Feature Learning
Previous biological models of object recognition in cortex have been evaluated using idealized scenes and have hard-coded features, such as the HMAX model by Riesenhuber and Poggio [10]. Because HMAX uses the same set of features for all object classes, it does not perform well in the task of detecting a target object in clutter. This thesis presents a new model that integrates learning of obje...
متن کاملCategory-specific interference of object recognition with biological motion perception.
The rapid and detailed recognition of human action from point-light displays is a remarkable ability and very robust against masking by motion signals. However, recognition of biological motion is strongly impaired when the typical point lights are replaced by pictures of complex objects. In a reaction time task and a detection in noise task, we asked subjects to decide if the walking direction...
متن کاملObject Tracking and Event Recognition in Biological Microscopy Videos
We present a video analysis and content-based video query and retrieval system for research videos arising from biological microscopy (a) that uses image processing procedures to identify objects and events automatically within the digitized videos, thus leading to the generation of content information (specific intrinsic metadata) of high information value by automated analysis of their visual...
متن کاملOn the Role of Object-Specific Features for Real World Object Recognition in Biological Vision
Models of object recognition in cortex have so far been mostly applied to tasks involving the recognition of isolated objects presented on blank backgrounds. However, ultimately models of the visual system have to prove themselves in real world object recognition tasks. Here we took a first step in this direction: We investigated the performance of the hmax model of object recognition in cortex...
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ژورنال
عنوان ژورنال: Scholarpedia
سال: 2008
ISSN: 1941-6016
DOI: 10.4249/scholarpedia.2667