کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
535553 870353 2013 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Shopping behavior recognition using a language modeling analogy
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Shopping behavior recognition using a language modeling analogy
چکیده انگلیسی

Automatic understanding and recognition of human shopping behavior has many potential applications, attracting an increasing interest in the marketing domain. The reliability and performance of the automatic recognition system is highly influenced by the adopted theoretical model of behavior. In this work, we address the analogy between human shopping behavior and a natural language. The adopted methodology associates low-level information extracted from video data with semantic information using the proposed behavior language model. Our contribution on the action recognition level consists of proposing a new feature set which fuses Histograms of Optical Flow (HOF) with directional features. On the behavior level we propose combining smoothed bi-grams with the maximum dependency in a chain of conditional probabilities. The experiments are performed on both laboratory and real-life datasets. The introduced behavior language model achieves an accuracy of 87% on the laboratory data and 76% on the real-life dataset, an improvement of 11% and 8% respectively over the baseline model, by incorporating semantic knowledge and capturing correlations between the basic actions.


► We introduce a language modeling approach for shopping behavior recognition.
► The feature set for action recognition is improved by adding directional features.
► Smoothed bi-grams are combined with the maximum dependency in a chain of conditional probabilities.
► Experiments are performed on both laboratory and real-life data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 34, Issue 15, 1 November 2013, Pages 1879–1889
نویسندگان
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