کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6940109 | 1450007 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Market basket analysis from egocentric videos
ترجمه فارسی عنوان
تجزیه و تحلیل بازار سبد از فیلم های خودجوش
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
This paper presents Visual Market Basket Analysis (VMBA), a novel application domain for egocentric vision systems. The final goal of VMBA is to infer the behavior of the customers of a store during their shopping. The analysis relies on image sequences acquired by cameras mounted on shopping carts. The inferred behaviors can be coupled with classic Market Basket Analysis information (i.e., receipts) to help retailers to improve the management of spaces and marketing strategies. To set up the challenge, we collected a new dataset of egocentric videos during real shopping sessions in a retail store. Video frames have been labeled according to a proposed hierarchy of 14 different customer behaviors from the beginning (cart picking) to the end (cart releasing) of their shopping. We benchmark different representation and classification techniques and propose a multi-modal method which exploits visual, motion and audio descriptors to perform classification with the Directed Acyclic Graph SVM learning architecture. Experiments highlight that employing multimodal representations and explicitly addressing the task in a hierarchical way is beneficial. The devised approach based on Deep Features achieves an accuracy of more than 87% over the 14 classes of the considered dataset.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 112, 1 September 2018, Pages 83-90
Journal: Pattern Recognition Letters - Volume 112, 1 September 2018, Pages 83-90
نویسندگان
Vito Santarcangelo, Giovanni Maria Farinella, Antonino Furnari, Sebastiano Battiato,