People detection using color and depth images
Publication
, Journal Article
Salas, J; Tomasi, C
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
July 14, 2011
We present a strategy that combines color and depth images to detect people in indoor environments. Similarity of image appearance and closeness in 3D position over time yield weights on the edges of a directed graph that we partition greedily into tracklets, sequences of chronologically ordered observations with high edge weights. Each tracklet is assigned the highest score that a Histograms-of-Oriented Gradients (HOG) person detector yields for observations in the tracklet. High-score tracklets are deemed to correspond to people. Our experiments show a significant improvement in both precision and recall when compared to the HOG detector alone. © 2011 Springer-Verlag Berlin Heidelberg.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
July 14, 2011
Volume
6718 LNCS
Start / End Page
127 / 135
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Salas, J., & Tomasi, C. (2011). People detection using color and depth images. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6718 LNCS, 127–135. https://doi.org/10.1007/978-3-642-21587-2_14
Salas, J., and C. Tomasi. “People detection using color and depth images.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6718 LNCS (July 14, 2011): 127–35. https://doi.org/10.1007/978-3-642-21587-2_14.
Salas J, Tomasi C. People detection using color and depth images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2011 Jul 14;6718 LNCS:127–35.
Salas, J., and C. Tomasi. “People detection using color and depth images.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6718 LNCS, July 2011, pp. 127–35. Scopus, doi:10.1007/978-3-642-21587-2_14.
Salas J, Tomasi C. People detection using color and depth images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2011 Jul 14;6718 LNCS:127–135.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
July 14, 2011
Volume
6718 LNCS
Start / End Page
127 / 135
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences