ESAR, An Expert Shoplifting Activity Recognition System
Shoplifting is a troubling and pervasive aspect of consumers, causing great losses to retailers. It is the theft of goods from the stores/shops, usually by hiding the store item either in the pocket or in carrier bag and leaving without any payment. Revenue loss is the most direct financial effect o...
Main Authors: | Ansari Mohd. Aquib, Singh Dushyant Kumar |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2022-03-01
|
Series: | Cybernetics and Information Technologies |
Subjects: | |
Online Access: | https://doi.org/10.2478/cait-2022-0012 |
Similar Items
-
Advancing human action recognition: A hybrid approach using attention-based LSTM and 3D CNN
by: El Mehdi Saoudi, et al.
Published: (2023-09-01) -
Cascading Pose Features with CNN-LSTM for Multiview Human Action Recognition
by: Najeeb ur Rehman Malik, et al.
Published: (2023-01-01) -
Saliency-Driven Hand Gesture Recognition Incorporating Histogram of Oriented Gradients (HOG) and Deep Learning
by: Farzaneh Jafari, et al.
Published: (2023-09-01) -
Device-Free Human Activity Recognition with Low-Resolution Infrared Array Sensor Using Long Short-Term Memory Neural Network
by: Cunyi Yin, et al.
Published: (2021-05-01) -
In-Bed Pose Estimation: Deep Learning With Shallow Dataset
by: Shuangjun Liu, et al.
Published: (2019-01-01)