Analysis of spatially-aligned SURF features for pedestrian classification

Giuseppe Correnti; Sriram Varadarajan; Jianguo Zhang

Analysis of spatially-aligned SURF features for pedestrian classification

Giuseppe Correnti
, Sriram Varadarajan
, Jianguo Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	14th International Machine Vision and Image Processing Conference
Subtitle of host publication	IMVIP 2010
Editors	Martin J. Leahy, Marie-Louise O’Connell
Place of Publication	Newcastle upon Tyne
Publisher	Cambridge Scholars Publishing
Pages	233-247
Number of pages	15
ISBN (Print)	9781443829625, 1443829625
Publication status	Published - 2010
Event	14th International Machine Vision and Image Processing Conference - University of Limerick, Limerick, Ireland Duration: 8 Sept 2010 → 10 Sept 2010

Conference

Conference	14th International Machine Vision and Image Processing Conference
Abbreviated title	IMVIP 2010
Country/Territory	Ireland
City	Limerick
Period	8/09/10 → 10/09/10

Access to Document

http://www.c-s-p.org/flyers/14th-International-Machine-Vision-and-Image-Processing-Conference--IMVIP-20101-4438-2962-5.htm

Analysis of spatially-aligned SURF features for pedestrian classification
Correnti, G., Varadarajan, S. & Zhang, J., 2010.
Research output: Contribution to conference › Paper

14th International Machine Vision and Image Processing Conference
Zhang, J. (Participant)
8 Sept 2010 → 10 Sept 2010
Activity: Participating in or organising an event types › Participation in conference

Cite this

Correnti, G., Varadarajan, S., & Zhang, J. (2010). Analysis of spatially-aligned SURF features for pedestrian classification. In M. J. Leahy, & M.-L. O’Connell (Eds.), 14th International Machine Vision and Image Processing Conference: IMVIP 2010 (pp. 233-247). Cambridge Scholars Publishing. http://www.c-s-p.org/flyers/14th-International-Machine-Vision-and-Image-Processing-Conference--IMVIP-20101-4438-2962-5.htm

@inproceedings{240f6dbb78c84b3d901812bbe31adf41,

title = "Analysis of spatially-aligned SURF features for pedestrian classification",

author = "Giuseppe Correnti and Sriram Varadarajan and Jianguo Zhang",

year = "2010",

language = "English",

isbn = "9781443829625",

pages = "233--247",

editor = "Leahy, \{Martin J. \} and O{\textquoteright}Connell, \{Marie-Louise \}",

booktitle = "14th International Machine Vision and Image Processing Conference",

publisher = "Cambridge Scholars Publishing",

note = "14th International Machine Vision and Image Processing Conference, IMVIP 2010 ; Conference date: 08-09-2010 Through 10-09-2010",

}

Correnti, G, Varadarajan, S & Zhang, J 2010, Analysis of spatially-aligned SURF features for pedestrian classification. in MJ Leahy & M-L O’Connell (eds), 14th International Machine Vision and Image Processing Conference: IMVIP 2010. Cambridge Scholars Publishing, Newcastle upon Tyne , pp. 233-247, 14th International Machine Vision and Image Processing Conference, Limerick, Ireland, 8/09/10. <http://www.c-s-p.org/flyers/14th-International-Machine-Vision-and-Image-Processing-Conference--IMVIP-20101-4438-2962-5.htm>

Analysis of spatially-aligned SURF features for pedestrian classification. / Correnti, Giuseppe; Varadarajan, Sriram; Zhang, Jianguo.
14th International Machine Vision and Image Processing Conference: IMVIP 2010. ed. / Martin J. Leahy; Marie-Louise O’Connell. Newcastle upon Tyne : Cambridge Scholars Publishing, 2010. p. 233-247.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Analysis of spatially-aligned SURF features for pedestrian classification

AU - Correnti, Giuseppe

AU - Varadarajan, Sriram

AU - Zhang, Jianguo

PY - 2010

Y1 - 2010

M3 - Conference contribution

SN - 9781443829625

SN - 1443829625

SP - 233

EP - 247

BT - 14th International Machine Vision and Image Processing Conference

A2 - Leahy, Martin J.

A2 - O’Connell, Marie-Louise

PB - Cambridge Scholars Publishing

CY - Newcastle upon Tyne

T2 - 14th International Machine Vision and Image Processing Conference

Y2 - 8 September 2010 through 10 September 2010

ER -

Analysis of spatially-aligned SURF features for pedestrian classification

Conference

Access to Document

Research output

Analysis of spatially-aligned SURF features for pedestrian classification

Activities

14th International Machine Vision and Image Processing Conference

Cite this