TY - GEN
T1 - Crowd behavior characterization for scene tracking
AU - Franchi, Gianni
AU - Aldea, Emanuel
AU - Dubuisson, Severine
AU - Bloch, Isabelle
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - In this work, we perform an in-depth analysis of the specific difficulties a crowded scene dataset raises for tracking algorithms. Starting from the standard characteristics depicting the crowd and their limitations, we introduce six entropy measures related to the motion patterns and to the appearance variability of the individuals forming the crowd, and one appearance measure based on Principal Component Analysis. The proposed measures are discussed on synthetic configurations and on multiple real datasets. These criteria are able to characterize the crowd behavior at a more detailed level and may be helpful for evaluating the tracking difficulty of different datasets. The results are in agreement with the perceived difficulty of the scenes.
AB - In this work, we perform an in-depth analysis of the specific difficulties a crowded scene dataset raises for tracking algorithms. Starting from the standard characteristics depicting the crowd and their limitations, we introduce six entropy measures related to the motion patterns and to the appearance variability of the individuals forming the crowd, and one appearance measure based on Principal Component Analysis. The proposed measures are discussed on synthetic configurations and on multiple real datasets. These criteria are able to characterize the crowd behavior at a more detailed level and may be helpful for evaluating the tracking difficulty of different datasets. The results are in agreement with the perceived difficulty of the scenes.
U2 - 10.1109/AVSS.2019.8909893
DO - 10.1109/AVSS.2019.8909893
M3 - Conference contribution
AN - SCOPUS:85076365306
T3 - 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019
BT - 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019
Y2 - 18 September 2019 through 21 September 2019
ER -