Visual Object Recognition System
نویسندگان
چکیده
This article introduces the problem of object detection and recognition. The potential mobility this solution, ease installation initial setup, as well absence expensive, resource-intensive complex image collection processing systems are presented. Solutions to demonstrated, along with advantages disadvantages each. selection contours by a filter based on Prewitt operator detector characteristic points is an algorithm system, developed within framework recognition techniques. reader can follow interim final demonstrations system in learn about its over traditional video surveillance systems, some disadvantages. A webcam frame rate 25 frames per second, mobile phone PC Matlab2020 programming environment installed (due convenience built-in functions) required illustrate how works.
منابع مشابه
Object recognition in the early visual system
To complement our previous modeling of visual attention and the "where" processing stream in the primate brain, we now investigate the recognition of objects at the attended locations in the "what" visual processing stream. In the work we built an object recognition system of view-tuned units (16 × 16 pixels, 8-bit gray level scale). The view-tuned units are believed as a critical part for obje...
متن کاملa computational visual neuroscience model for object recognition
in this study with the inspirations from both neuroscience and computer science, a combinatorial framework for object recognition was proposed having benefited from the advantages of both biologically-inspired hmax_s architecture model for feature extraction and extreme learning machine (elm) as a classifier. hmax model is a feed-forward hierarchical structure resembling the ventral pathway in ...
متن کاملVisual Object Recognition
The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphas...
متن کاملEmbodied Visual Object Recognition
We present in this paper a research platform for development and evaluation of embodied visual object recognition strategies. The platform uses a stereoscopic peripheral-foveal camera system and a fast pan-tilt unit to perform saliencybased visual search. This is combined with a classification framework based on the bag-of-features paradigm with the aim of targeting, classifying and recognising...
متن کاملVisual Object Recognition
The study of object recognition concerns itself with a twofold problem. First, what is the form of visual object representation? Second, how do observers match object percepts to visual object representations? Unfortunately, the world isn't color coded or conveniently labeled for us. Many objects look similar (think about four-legged mammals, cars, or song birds) and most contain no single feat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Elektronìka ta sistemi upravlìnnâ
سال: 2022
ISSN: ['1990-5548']
DOI: https://doi.org/10.18372/1990-5548.73.17007