This year’s Summer School of the Aware Initiative (AWASS2013) is about to end. I was asked to Mentor one of the case studies entitled Computational Self-awareness in Smart-Camera Networks. The project should use the open source simulation tool CamSim. The group I mentored came up with three ideas to improve our previous ideas:
1. Object trajectory prediction
2. Probabilistic auctioning for out-of-FOV objects
3. Cluster FOV such that a camera has different vision graphs per cluster

Our Paper entitled ‘Learning to be Different: Heterogeneity and Efficiency in Distributed Smart Camera Networks’ has been accepted as a full paper for presentation and publication at this years Conference on Self-Adaptive and Self-Organizing Systems (SASO).