ISSS Breakfast Seminar

Talk 1: Saurav Sthapit will be presenting “Distributed Implementation for Person Re-identification”.

Person re-identification is to associate people across different camera views at different locations and time. Current computer vision algorithms on person re-identification mainly focus on performance, making it unsuitable for distributed systems. For a distributed system, computational complexity, network usage, energy consumption and memory requirement are as important as the performance. In this paper, we compare the merits of current algorithms. We consider three key algorithms, Keep It Simple and Straightforward MEtric (KISSME), Symmetry Driven Accumulation of Local Features (SDALF) and Unsupervised Saliency Matching (USM). The advantage of SDALF, and USM is that they are unsupervised methods so training is not required but computationally many time expensive than KISSME. The Saliency based method is superior in performance but also has the largest feature size. As the features needs to be transmitted from one camera to other in distributed system, this mean higher energy consumption and longer time delay. Among these three, KISSME offers a balance between performance, complexity and feature lengths and hence more suitable for distributed systems.

Talk 2: Heriot-Watt Engage will be coming to talk to us:

Heriot-Watt Engage supports, stimulates and promotes public engagement activities at Heriot-Watt, facilitating the impact of our research. We offer advice on a range of public engagement activities, including training, funding, evaluation and good practice. Two highlights this year are the Explorathon, AKA EU Researchers Night, at Edinburgh Zoo, and the Scottish Closing Ceremony of the International Year of Light – amazing opportunities to showcase your research to the public!