See this document in CiteSeerX!

People Counting in Transport Vehicles (2005)  (Make Corrections)  
Sebastien Harasse, Laurent Bonnaud, Michel Desvignes LIS-ENSIEG, 61 rue de la ...



  Home/Search   Context   Related

 
View or download:
lis.inpg.fr/pages_...cv2005_harasse.pdf
Cached:  PS.gz  PS  PDF   Image  Update  Help

From:  lis.inpg.fr/pages_...publications (more)
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: Counting people from a video stream in a noisy environment is a challenging task. This project aims at developing a counting system for transport vehicles, integrated in a video surveillance product. This article presents a method for the detection and tracking of multiple faces in a video by using a model of first and second order local moments. An iterative process is used to estimate the position and shape of multiple faces in images, and to track them. the trajectories are then processed to ... (Update)

Active bibliography (related documents):   More   All
1.0:   Finding People in Video Streams - Statistical Modeling Sebastien   (Correct)
0.4:   IR Pedestrian Detection for Advanced Driver Assistance .. - Bertozzi, Broggi.. (2003)   (Correct)
0.3:   Discriminative Techniques for the Recognition of Complex-Shaped .. - Carmichael (2003)   (Correct)

Similar documents based on text:
0.0:   Unknown -   (Correct)

BibTeX entry:   (Update)

@misc{ laurent-people,
  author = "Sebastien Harasse Laurent",
  title = "People Counting in Transport Vehicles",
  url = "citeseer.ist.psu.edu/750283.html" }
Citations (may not include all citations):
386   Pfinder: Real-time tracking of human body - Wren, Azarbayejani et al. - 1997
364   Condensation -- conditional density propagation for visual t.. - Isard, Blake - 1998
335   Neural Network-Based Face Detection - Rowley, Baluja et al. - 1998
240   Visual pattern recognition by moment invariants (context) - Hu - 1962
141   The FERET evaluation methodology for face recognition algori.. - Phillips, Moon et al. - 2000
66   Human face detection in complex background (context) - Yang, Huang - 1994
63   Detecting face in images: a survey (context) - Yang, Kriegman et al. - 2002
26   Robust face tracking using color - Schwerdt, Crowley - 2000
24   Face Detection: A Survey (context) - Hjelmas - 2001
22   Stereo- and neural network based pedestrian detection - Zhao, Thorpe - 2000
15   Pedestrian Detection and Tracking with Night Vision (context) - Xu, Liu et al. - 2004
13   Probabilistic template based pedestrian detection in infrare.. (context) - Nanda, Davis - 2002
11   Probabilistic Methods for Finding People (context) - Ioffe, Forsyth - 2001
10   A System for Video Surveillance and Monitoring: VSAM Final R.. (context) - Lipton, Fujiyoshi et al. - 2000
6   Face Detection Using Templates (context) - Kwon, Vitoria - 1994
4   Pedestrian detection in infrared images (context) - Bertozzi - 2003
3   Similarity templates for detection and recognition (context) - Stauffer, Grimson - 2001
2   W4: A real-time system for detection and tracking of people .. (context) - Haritaoglu, Harwood et al. - 2000
1   Face detection in color images of generic scenes (context) - Campadelli, Lanzarotti et al. - 2004

Documents on the same site (http://www.lis.inpg.fr/pages_perso/desvignes/publications.html):   More
Contour Tracking By Regional Minimal Cost Path Approach.. - Romaniuk, Desvignes (2004)   (Correct)
Shape Variabilty Andspatial Relalationships Modeling in .. - Romaniuk, Desvignes..   (Correct)
3D Meshes Registration : Application to Statistical.. - Berar, Desvignes.. (2004)   (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