Chikahito Nakajima, Massimiliano Pontil, et al.  Home/Search
Context Related
| mit.edu/projects/cbcl/...aim1688.ps.gz mit.edu/projects/cbcl/pu...AIM1688.pdf Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: mit.edu/projects/cbcl/...allyear (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: We describe a system that learns from examples to recognize people in images taken indoors. Images of people are represented by color-based and shape-based features. Recognition is carried out through combinations of Support Vector Machine classifiers (SVMs). Different types of multiclass strategies based on SVMs are explored and compared to k-Nearest Neighbors classifiers (kNNs). The system works in real time and shows high performance rates for people recognition throughout one day.... (Update)
Context of citations to this paper: More
...versus all approach that of SVMs. Recent experiments on person recognition show similar classification performances for the two strategies [33]. B. Previous Work Similarly to object categorization, one of the most important problems for object identification is pose...
...with recognition memory of one s appearance. A substantial amount of research has been carried out in person identification technology [4, 9, 17]. Most of these works attempt to solve the identification problem: given a set of labeled training data and a set of test data,...
Cited by: More
An Appearance Based Approach To - Human And Object (Correct)
Multi-Source Human Identification - Kim (2003) (Correct)
Unknown - (2001) (Correct)
Active bibliography (related documents): More All
0.6: People Recognition and Pose Estimation in Image Sequences - Nakajima, Pontil, Poggio (2000) (Correct)
0.5: A Statistical Approach to 3D Object Detection Applied to Faces .. - Schneiderman (2000) (Correct)
0.4: Discriminative, Generative and Imitative Learning - Jebara (2002) (Correct)
Similar documents based on text: More All
0.6: Feature Selection for Face Detection - Serre, al. (2000) (Correct)
0.5: B - Poggio, Mukherjee, Rifkin, Rakhlin.. (2001) (Correct)
0.4: Bagging Regularizes - Poggio, Rifkin, Mukherjee, Rakhlin (2002) (Correct)
Related documents from co-citation: More All
3: Statistical Learning Theory (context) - Vapnik
2: Linear object classes and image synthesis from a single example image - Vetter, Poggio - 1997
2: Person identification using multiple cues - Brunelli, Falavigna - 1995
BibTeX entry: (Update)
C. Nakajima, M. Pontil, B. Heisele and T. Poggio. People Recognition in Image Sequences by Supervised Learning. MIT AI Memo No. 1633/CBCL Memo No. 133, 2000. http://citeseer.ist.psu.edu/article/nakajima00people.html More
@misc{ nakajima00people,
author = "C. Nakajima and M. Pontil and B. Heisele and T. Poggio",
title = "People Recognition in Image Sequences by Supervised Learning",
text = "C. Nakajima, M. Pontil, B. Heisele and T. Poggio. People Recognition in
Image Sequences by Supervised Learning. MIT AI Memo No. 1633/CBCL Memo No.
133, 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/article/nakajima00people.html" }
Citations (may not include all citations):947 Statistical learning theory (context) - Vapnik - 1998
250 Face Recognition: Features versus templates (context) - Brunelli, Poggio - 1993
244 Example-based learning for view-based human face detection - Sung, Poggio - 1994
83 Adaptive background mixture models for real-time tracking (context) - Stauffer, Grimson - 1999
36 Large margin dags for multiclass classification - Platt, Cristianini et al.
35 Hierarchical models of object recognition in cortex - Riesenhuber, Poggio - 1999
32 Face detection in still gray images - Heisele, Poggio et al. - 2000
29 Support vector machines for 3-d object recognition - Pontil, Verri - 1998
17 Support Vector Machines for histogram-based image classifica.. (context) - Chapelle, Haffner et al. - 1999
17 A statistical approach to 3D object detection applied to fac.. - Schneiderman - 2000
13 Face recognition for smart environments (context) - Pentland, Choudhury - 2000
10 Scale and rotation invariant recognition method using higher.. - Kurita, Hotta et al. - 1998
10 A system for video surveillance and monitoring: VSAM final r.. (context) - Collins, Lipton et al. - 2000
9 Trainable pedestrian detection (context) - Papageorgiou, Poggio - 1999
8 Learning-based approach to real time tracking and analysis o.. - Kumar, Poggio - 2000
7 Object detection in images by components - Mohan - 1999
5 People recognition and pose estimation in image sequences - Nakajima, Pontil et al. - 2000
3 Object recognition and detection by a combination of Support.. - Nakajima, Itoh et al. - 2000
2 Mechanism of color perception (context) - Uchikawa - 1998
2 A trainable object detection system: Car detection in static.. - Papageorgiou, Poggio - 1999
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.ai.mit.edu/projects/cbcl/publications/all-year.html): More
Morphable Models for the Analysis and Synthesis of Complex.. - Giese, Poggio (2000) (Correct)
Quantification and Classification of Locomotion Patterns By.. - Giese, Poggio (Correct)
Learning-Based Approach to Real Time Tracking and Analysis of.. - Kumar, Poggio (1998) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC