Multiple human tracking in RGB-depth data: A survey

© The Institution of Engineering and Technology. Multiple human tracking (MHT) is a fundamental task in many computer vision applications. Appearance-based approaches, primarily formulated on RGB data, are constrained and affected by problems arising from occlusions and/or illumination variations. In recent years, the arrival of cheap RGB-depth devices has led to many new approaches to MHT, and many of these integrate colour and depth cues to improve each and every stage of the process. In this survey, the authors present the common processing pipeline of these methods and review their methodology based (a) on how they implement this pipeline and (b) on what role depth plays within each stage of it. They identify and introduce existing, publicly available, benchmark datasets and software resources that fuse colour and depth data for MHT. Finally, they present a brief comparative evaluation of the performance of those works that have applied their methods to these datasets

Gorilla Game Lab: Exploring Modularity, Tangibility and Playful Engagement in Cognitive Enrichment Design

Enriching the lives of animals under human care is not a new concept but the methods of doing so are rapidly evolving in zoos. Zoo-based enrichment is traditionally low-tech, often failing to maintain animals’ long-term interest. Meanwhile, evaluating the intricacies of enrichment device use remains difficult. ‘Cognitive’ enrichment aims to challenge animals’ evolved cognitive skills and ACI shows promise in revolutionizing its practice.We present ‘Gorilla Game Lab’, a project designing, implementing and evaluating high-tech cognitive enrichment with seven zoo-housed Western lowland gorillas. We study the role of modular, tangible cognitive enrichment, assimilating motivational game design principles, in maintaining engaging, playful interactions.Taking an 'animal-centred' design approach, informed by the gorillas and the humans responsible for their welfare as design contributors, we introduce our rapid prototyping process. We also explore how integrating digital tracking, IoT and open source design, can contribute to creating a world-class method for enhancing zoo animal welfare