TY - GEN
T1 - An Event-Based Hierarchical Method for Customer Activity Recognition in Retail Stores
AU - Wen, Jiahao
AU - Guillen, Luis
AU - Amrizal, Muhammad Alfian
AU - Abe, Toru
AU - Suganuma, Takuo
N1 - Funding Information:
This material is based upon the work supported by the National Science Foundation under Grant No. 1755984. This work is also partially supported by the Arizona Board of Regents (ABOR) under Grant No. 1003329.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Customer Activity (CA) provides valuable information for marketing. CA is a collective name of customer information from on-the-spot observation in retail environments. Existing methods of Customer Activity Recognition (CAR) recognize CA by specialized end-to-end (e2e) models. Consequently, when marketing requires changing recognition targets, specialized e2e models are not reconfigurable to fit different marketing demands unless rebuilding the models entirely. Besides, redundant computation in the existing CAR system leads to low efficiency. Also, the low maintainability of the CAR system results in lots of modifications when updating methods in the system. In this research, we decompose behaviors into several primitive units called “event”. We propose an event-based CAR method to achieve reconfigurability and design a hierarchy to solve issues about redundancy and maintainability. The evaluation results show that our proposed method can adapt and perform better than existing methods, which fits different marketing demands.
AB - Customer Activity (CA) provides valuable information for marketing. CA is a collective name of customer information from on-the-spot observation in retail environments. Existing methods of Customer Activity Recognition (CAR) recognize CA by specialized end-to-end (e2e) models. Consequently, when marketing requires changing recognition targets, specialized e2e models are not reconfigurable to fit different marketing demands unless rebuilding the models entirely. Besides, redundant computation in the existing CAR system leads to low efficiency. Also, the low maintainability of the CAR system results in lots of modifications when updating methods in the system. In this research, we decompose behaviors into several primitive units called “event”. We propose an event-based CAR method to achieve reconfigurability and design a hierarchy to solve issues about redundancy and maintainability. The evaluation results show that our proposed method can adapt and perform better than existing methods, which fits different marketing demands.
KW - Activity recognition
KW - Customer activities
KW - Hierarchical activity model
KW - Retail environments
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U2 - 10.1007/978-3-030-64556-4_21
DO - 10.1007/978-3-030-64556-4_21
M3 - Conference contribution
AN - SCOPUS:85098113702
SN - 9783030645557
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 263
EP - 275
BT - Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings
A2 - Bebis, George
A2 - Yin, Zhaozheng
A2 - Kim, Edward
A2 - Bender, Jan
A2 - Subr, Kartic
A2 - Kwon, Bum Chul
A2 - Zhao, Jian
A2 - Kalkofen, Denis
A2 - Baciu, George
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Symposium on Visual Computing, ISVC 2020
Y2 - 5 October 2020 through 7 October 2020
ER -