Object recognition relies heavily on invariant visual features such as the manner in which lines meet at vertices to form viewpoint-invariant junctions (e.g. T, L). We wondered whether these features also underlie readers' competence for fast recognition of printed words. Since reading is far too recent to have exerted any evolutionary pressure on brain evolution, visual word recognition might ...

Visual attention can support object recognition by selecting the relevant target information in the huge amount of sensory data, especially important in scenes composed of multiple objects. Here we demonstrate how attention in a biologically plausible and neuro-computational model of visual perception facilitates object recognition in a robotic real world scenario. We will point out that it is ...

The rhinal cortex in the medial temporal lobe has been implicated in object recognition memory tasks and indeed is considered to be the critical node in a visual memory network. Previous studies using the 2-deoxyglucose method have shown that thalamic and hippocampal structures thought to be involved in visual recognition memory are also engaged by spatial and object working memory tasks in the...

Object Recognition is inherently a hard problem in computer vision. Current standard object recognition techniques require small training data sets of images and apply sophisticated algorithms. These methods tend to perform poorly because the small data set does not reflect the true distribution (selection bias). Recently, Torralba et al [1] have proposed to develop a large data set of images (...

Nowadays, many people are expecting an age of personal robots just as what happened in the evolution of computers. With this background, the research on human-robot interaction receives a lot of attention in the robotics research community. In this dissertation, we focus on the vision-based recognition of human’s manipulative gestures because the manipulation of objects draws the attention of t...

The subject of research in the article is module automatic segmentation and subtraction background, which created, based on sequential application methods image preprocessing modified method interactive images implemented system optical monitoring air situation. aim work to develop an increase efficiency recognition object type a video visual environment by means qualitative segmentation. To so...

In recent years, IT convergence technology has been developed to get creative solution by combining robotics or sports science technology. Object detection and recognition have mainly applied to sports science field that has processed by recognizing face and by tracking human body. But object detection and recognition using vision sensor is challenge task in real world because of illumination. ...