Also Presenting: Dr. Cory Lowe
Because of COVID-19, previously common behaviors such as clearing one’s throat in a public place can evoke fear in those around us; furthermore, there have been numerous reports of retail guests engaging in hazardous behaviors (e.g., coughing and spitting at or on people, checkouts, and merchandise) to intimidate others, engage in retail crimes, or avoid apprehension for committing crimes.
If hazardous coughing behaviors can be quickly detected, they can be addressed. Computer vision technologies provide a tremendous opportunity to rapidly detect these behaviors in public places; unfortunately, the annotated video clip data necessary to develop cough-detection algorithms are not readily available.
Therefore, our team has designed a project to develop a publicly available collection of coughing videos that can be: (1) used in a cough-detection algorithm contest sponsored by loss prevention industry partners, and (2) released to the broader community of individuals working in AI and computer vision to further research in this area. This presentation reviews our novel, interdisciplinary project and the joys, challenges, and ethical considerations associated with it so far
Dr. Read Hayes has over 30 years of hands-on law enforcement, retailing, and research-based crime control experience in the US and over 20 countries. Read is the University of Florida Crime Prevention Research Team’s Co-Director, and Director of the 160 corporate member retailer-supplier-LE coalition Loss Prevention Research Council.
Read and his team have conducted over 300 LP field research projects including 25 place-based RCTs, and his current research focus includes offender and customer decision-making and situational deterrence at different geo-scales.