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PARTICLE PHD FILTER BASED MULTI-TARGET TRACKING USING DISCRIMINATIVE GROUP-STRUCTURED DICTIONARY LEARNING

Abstract: 

Structured sparse representation has been recently found to achieve better efficiency and robustness in exploiting the target appearance model in tracking systems with both holistic and local information. Therefore, to better simultaneously discriminate multi-targets from their background, we propose a novel video-based multi-target tracking system that combines the particle probability hypothesis density (PHD) filter with discriminative group-structured dictionary learning. The discriminative dictionary with group structure learned by the hierarchical K-means clustering algorithm implicitly associates the dictionary atoms with the group labels, simultaneously enforcing the target candidates from the same group (class) to share the same structured sparsity pattern. Furthermore, we propose a new joint likelihood calculation by relating the discriminative sparse codes with the maximum voting technique to enhance the particle PHD updating step. Experimental results on several publicly available benchmark video sequences confirm the improved performance of our proposed method over other state-of-the-art techniques in video-based multi-target tracking.

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Paper Details

Authors:
Zeyu Fu, Pengming Feng, Syed Mohsen Naqvi, and Jonathon Chambers
Submitted On:
22 March 2017 - 8:04am
Short Link:
Type:
Poster
Event:
Presenter's Name:
ZEYU FU
Paper Code:
SPTM-P8.2
Document Year:
2017
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ICASSP2017-POSTER (1).pdf

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[1] Zeyu Fu, Pengming Feng, Syed Mohsen Naqvi, and Jonathon Chambers, "PARTICLE PHD FILTER BASED MULTI-TARGET TRACKING USING DISCRIMINATIVE GROUP-STRUCTURED DICTIONARY LEARNING", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1780. Accessed: May. 28, 2017.
@article{1780-17,
url = {http://sigport.org/1780},
author = {Zeyu Fu; Pengming Feng; Syed Mohsen Naqvi; and Jonathon Chambers },
publisher = {IEEE SigPort},
title = {PARTICLE PHD FILTER BASED MULTI-TARGET TRACKING USING DISCRIMINATIVE GROUP-STRUCTURED DICTIONARY LEARNING},
year = {2017} }
TY - EJOUR
T1 - PARTICLE PHD FILTER BASED MULTI-TARGET TRACKING USING DISCRIMINATIVE GROUP-STRUCTURED DICTIONARY LEARNING
AU - Zeyu Fu; Pengming Feng; Syed Mohsen Naqvi; and Jonathon Chambers
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1780
ER -
Zeyu Fu, Pengming Feng, Syed Mohsen Naqvi, and Jonathon Chambers. (2017). PARTICLE PHD FILTER BASED MULTI-TARGET TRACKING USING DISCRIMINATIVE GROUP-STRUCTURED DICTIONARY LEARNING. IEEE SigPort. http://sigport.org/1780
Zeyu Fu, Pengming Feng, Syed Mohsen Naqvi, and Jonathon Chambers, 2017. PARTICLE PHD FILTER BASED MULTI-TARGET TRACKING USING DISCRIMINATIVE GROUP-STRUCTURED DICTIONARY LEARNING. Available at: http://sigport.org/1780.
Zeyu Fu, Pengming Feng, Syed Mohsen Naqvi, and Jonathon Chambers. (2017). "PARTICLE PHD FILTER BASED MULTI-TARGET TRACKING USING DISCRIMINATIVE GROUP-STRUCTURED DICTIONARY LEARNING." Web.
1. Zeyu Fu, Pengming Feng, Syed Mohsen Naqvi, and Jonathon Chambers. PARTICLE PHD FILTER BASED MULTI-TARGET TRACKING USING DISCRIMINATIVE GROUP-STRUCTURED DICTIONARY LEARNING [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1780