Effectively Linking Persons on Cameras and Mobile Devices on Networks

Zeng, Juxiang; Wang, Pinghui; Zhao, Qiqi; Pang, Jianye; Tao, Jing; Guan, Xiaohong

doi:10.1109/mic.2019.2923189

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…Kröckel & Bodendorf (2012) present a video analytics-based method to track customer movement within the retail store and derive information from those movements. within the store by using a combination of video cameras and electro-magnetic emissions of an individual's mobile device, then dynamically push advertisements to their mobile device as so-called 'calls to action' (Liu et al, 2018;Zeng et al, 2019). Group buying behavior can also be derived using video analytics in retail settings (Gandomi & Haider, 2015).…”

Section: Current Use Cases Of Video Analyticsmentioning

confidence: 99%

Visual Privacy: Current and Emerging Regulations Around Unconsented Video Analytics in Retail

Pletcher

2022

Preprint

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Video analytics is the practice of combining digital video data with machine learning models to infer various characteristics from that video. This capability has been used for years to detect objects, movement and the number of customers in physical retail stores but more complex machine learning models combined with more powerful computing power has unlocked new levels of possibility. Researchers claim it is now possible to infer a whole host of characteristics about an individual using video analytics–such as specific age, ethnicity, health status and emotional state. Moreover, an individual’s visual identity can be augmented with information from other data providers to build out a detailed profile–all with the individual unknowingly contributing their physical presence in front of a retail store camera. Some retailers have begun to experiment with this new technology as a way to better know their customers. However, those same early adopters are caught in an evolving legal landscape around privacy and data ownership. This research looks into the current legal landscape and legislation currently in progress around the use of video analytics, specifically in the retail in-store setting. Because the ethical and legal norms around individualized video analytics are still heavily in flux, retailers are urged to adopt a ‘wait-and-see’ approach or potentially incur costly legal expenses and risk damage to their brand.

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Section: Current Use Cases Of Video Analyticsmentioning

confidence: 99%