Stixel World Based Long-Term Object Tracking for Intelligent Driving
Long-term object tracking is key for a higher level of semantic interpretation of driving environment. One of the state-of-the-art approaches for long-term tracking is Tracking-Learning-Detection (TLD), which, however, suffers from variability of on-road
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Communications in Computer and Information Science
710
Cognitive Systems and Signal Processing Third International Conference, ICCSIP 2016 Beijing, China, November 19–23, 2016 Revised Selected Papers
123
Communications in Computer and Information Science
710
Commenced Publication in 2007 Founding and Former Series Editors: Alfredo Cuzzocrea, Dominik Ślęzak, and Xiaokang Yang
Editorial Board Simone Diniz Junqueira Barbosa Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil Phoebe Chen La Trobe University, Melbourne, Australia Xiaoyong Du Renmin University of China, Beijing, China Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Orhun Kara TÜBİTAK BİLGEM and Middle East Technical University, Ankara, Turkey Igor Kotenko St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia Ting Liu Harbin Institute of Technology (HIT), Harbin, China Krishna M. Sivalingam Indian Institute of Technology Madras, Chennai, India Takashi Washio Osaka University, Osaka, Japan
More information about this series at http://www.springer.com/series/7899
Fuchun Sun Huaping Liu Dewen Hu (Eds.) •
Cognitive Systems and Signal Processing Third International Conference, ICCSIP 2016 Beijing, China, November 19–23, 2016 Revised Selected Papers
123
Editors Fuchun Sun Department of Computer Science and Technology Tsinghua University Beijing China
Dewen Hu College of Mechatronics and Automation National University of Defense Technology Changsha China
Huaping Liu Department of Computer Science and Technology Tsinghua University Beijing China
ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-981-10-5229-3 ISBN 978-981-10-5230-9 (eBook) DOI 10.1007/978-981-10-5230-9 Library of Congress Control Number: 2017945729 © Springer Nature Singapore Pte Ltd. 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to
