Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors

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Resumé

This work explores different types of multi-shot descriptors for re-identification in an on-the-fly enrolled environment using RGB-D sensors. We present a full re-identification pipeline complete with detection, segmentation, feature extraction, and re-identification, which expands on previous work by using multi-shot descriptors modeling people over a full camera pass instead of single frames with no temporal linking. We compare two different multi-shot models; mean histogram and histogram series, and test them each in 3 different color spaces. Both histogram descriptors are assisted by a depth-based pruning step where unlikely candidates are filtered away. Tests are run on 3 sequences captured in different circumstances and lighting situations to ensure proper generalization and lighting/environment invariance.
OriginalsprogEngelsk
TitelProceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015)
RedaktørerJosé Braz, Sebastiano Battiato, Francisco Imai
Vol/bind2
ForlagSCITEPRESS Digital Library
Publikationsdato2015
Sider244-251
ISBN (Trykt)978-989-758-090-1
DOI
StatusUdgivet - 2015
BegivenhedInternational Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2015 - Berlin, Tyskland
Varighed: 11 mar. 201514 mar. 2015
Konferencens nummer: 11

Konference

KonferenceInternational Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2015
Nummer11
LandTyskland
ByBerlin
Periode11/03/201514/03/2015

Fingerprint

Identification (control systems)
Lighting
Sensors
Invariance
Feature extraction
Pipelines
Cameras
Color

Citer dette

Møgelmose, A., Bahnsen, C., & Moeslund, T. B. (2015). Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors. I J. Braz, S. Battiato, & F. Imai (red.), Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) (Bind 2, s. 244-251). SCITEPRESS Digital Library. https://doi.org/10.5220/0005266402440251
Møgelmose, Andreas ; Bahnsen, Chris ; Moeslund, Thomas B. / Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors. Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015). red. / José Braz ; Sebastiano Battiato ; Francisco Imai. Bind 2 SCITEPRESS Digital Library, 2015. s. 244-251
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title = "Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors",
abstract = "This work explores different types of multi-shot descriptors for re-identification in an on-the-fly enrolled environment using RGB-D sensors. We present a full re-identification pipeline complete with detection, segmentation, feature extraction, and re-identification, which expands on previous work by using multi-shot descriptors modeling people over a full camera pass instead of single frames with no temporal linking. We compare two different multi-shot models; mean histogram and histogram series, and test them each in 3 different color spaces. Both histogram descriptors are assisted by a depth-based pruning step where unlikely candidates are filtered away. Tests are run on 3 sequences captured in different circumstances and lighting situations to ensure proper generalization and lighting/environment invariance.",
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Møgelmose, A, Bahnsen, C & Moeslund, TB 2015, Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors. i J Braz, S Battiato & F Imai (red), Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015). bind 2, SCITEPRESS Digital Library, s. 244-251, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2015, Berlin, Tyskland, 11/03/2015. https://doi.org/10.5220/0005266402440251

Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors. / Møgelmose, Andreas; Bahnsen, Chris; Moeslund, Thomas B.

Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015). red. / José Braz; Sebastiano Battiato; Francisco Imai. Bind 2 SCITEPRESS Digital Library, 2015. s. 244-251.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Møgelmose A, Bahnsen C, Moeslund TB. Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors. I Braz J, Battiato S, Imai F, red., Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015). Bind 2. SCITEPRESS Digital Library. 2015. s. 244-251 https://doi.org/10.5220/0005266402440251