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Object detection
Results: 550

#	Item
441	Instance Search and Content-based Copy Detection Experiments for TRECVID 2011 Masami Shishibori, Masashi Ohnishi, Yuuki Tanioka and Kenji Kita Dept. of Information Science and Intelligent Systems, Faculty of Engineering, Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-03-08 07:56:41 Image processing Scale-invariant feature transform Object recognition Segmentation Image retrieval Feature Haar-like features Nearest neighbor search Content-based image retrieval Computer vision Vision Artificial intelligence
442	TRECVID 2007 by the Brno Group High Level Feature Extraction & Shot Boundary Detection Adam Herout, Vítězslav Beran, Michal Hradiš, Igor Potúček, Pavel Zemčík, Petr Chmelař Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-03-03 10:55:06 Learning Statistical classification Machine learning Computer vision AdaBoost Support vector machine Boosting Feature Boosting methods for object categorization Artificial intelligence Statistics Ensemble learning
443	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 1, JANUARY 2002 Add to Reading List Source URL: vision.ucsd.edu Language: English - Date: 2003-08-06 19:28:41 Vision Face detection Segmentation Facial recognition system Object recognition Eigenface Template matching Edge detection Feature detection Computer vision Image processing Imaging
444	2010 International Conference on Pattern Recognition Background Filtering for Improving of Object Detection in Images Ge Qin, Bogdan Vrusias, Member, IEEE, and Lee Gillam Add to Reading List Source URL: www.cs.surrey.ac.uk Language: English - Date: 2012-09-05 04:43:44 Face recognition Object recognition Segmentation Template matching Content-based image retrieval ECognition Facial recognition system Object detection LabelMe Computer vision Image processing Surveillance
445	The Annals of Applied Statistics 2009, Vol. 3, No. 1, 38–60 DOI: [removed]AOAS180 © Institute of Mathematical Statistics, 2009 EFFICIENT BLIND SEARCH: OPTIMAL POWER OF DETECTION Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2009-04-17 08:23:42 Statistical inference Psychometrics Statistical hypothesis testing Pulsar Object recognition Data link layer Null hypothesis B-tree Statistics Design of experiments Hypothesis testing
446	The MediaMill TRECVID 2011 Semantic Video Search Engine C.G.M. Snoek, K.E.A. van de Sande, X. Li, M. Mazloom, Y.-G. Jiang∗, D.C. Koelma, A.W.M. Smeulders ISLA, University of Amsterdam Amsterdam, The Netherlands http:// Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-03-05 09:28:37 Visual descriptors Computer vision Shot transition detection Object recognition
447	NEO Threat Detection and Warning: Plans for an International Asteroid Warning Network Presentation to UN COPUOS Add to Reading List Source URL: www.oosa.unvienna.org Language: English - Date: 2013-02-18 06:34:50 Space Catalina Sky Survey Near-Earth object Asteroid Potentially hazardous object Lincoln Near-Earth Asteroid Research NEODyS Pan-STARRS Space debris Astronomical surveys Astronomy Planetary science
448	Microsoft Word - TJUT-TJU@TRECVID 2011_Surveillance Event Detection_revised.doc Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-01-10 13:32:29 Imaging Optics Object recognition Corner detection Optical flow Feature Interest point detection Scale-invariant feature transform Computer vision Image processing Vision
449	Multiple Component Learning for Object Detection Piotr Doll´ ar1,2 Boris Babenko2 Serge Belongie1,2 Pietro Perona1 Zhuowen Tu3 1 Add to Reading List Source URL: authors.library.caltech.edu Language: English - Date: 2014-08-22 16:26:50 Learning Machine learning Statistical classification AdaBoost Supervised learning Boosting Classifier Support vector machine Boosting methods for object categorization Ensemble learning Statistics Artificial intelligence
450	Assessing the Significance of Performance Differences on the PASCAL VOC Challenges via Bootstrapping Mark Everingham, S. M. Ali Eslami, Luc Van Gool, Christopher K. I. Williams, John Winn, Andrew Zisserman October 18, 2 Add to Reading List Source URL: pascallin.ecs.soton.ac.uk Language: English - Date: 2013-11-26 05:57:51 Year of birth missing Segmentation Object recognition Bootstrapping Object detection XPL Computer vision Image processing Andrew Zisserman