IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

From Object Recognition to Object Localization

From Object Recognition to Object Localization
View Sample PDF
Author(s): Rigas Kouskouridas (Democritus University of Thrace, Greece)and Antonios Gasteratos (Democritus University of Thrace, Greece)
Copyright: 2014
Pages: 16
Source title: Robotics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-4607-0.ch004

Purchase

View From Object Recognition to Object Localization on the publisher's website for pricing and purchasing information.

Abstract

Recognizing objects in a scene is a fundamental task in image understanding. The recent advances in robotics and related technologies have placed more challenges and stricter requirements to this issue. In such applications, robots must be equipped with a sense of location and direction with a view to the efficient accomplishment of navigation or demanding pick and place tasks. In addition, spatial information is required in surveillance processes where recognized targets are located in the working space of the robot. Furthermore, accurate perception of depth is mandatory in driver assistance applications. This chapter presents several recently proposed methods capable of first recognizing objects and then providing their spatial information in cluttered environments.

Related Content

Rashmi Rani Samantaray, Zahira Tabassum, Abdul Azeez. © 2024. 32 pages.
Sanjana Prasad, Deepashree Rajendra Prasad. © 2024. 25 pages.
Deepak Varadam, Sahana P. Shankar, Aryan Bharadwaj, Tanvi Saxena, Sarthak Agrawal, Shraddha Dayananda. © 2024. 24 pages.
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar. © 2024. 29 pages.
Mrutyunjaya S. Hiremath, Rajashekhar C. Biradar. © 2024. 30 pages.
C. L. Chayalakshmi, Mahabaleshwar S. Kakkasageri, Rajani S. Pujar, Nayana Hegde. © 2024. 30 pages.
Amit Kumar Tyagi. © 2024. 29 pages.
Body Bottom