Automated human activity analysis for multi-camera networks requires algorithms that are both accurate and efficient for practical, real-time use. Current approaches face a trade-off between accuracy and speed, with the most accurate methods havin...
Video analysis plays an important role in the field of computer vision and finds its application in many areas. Fine-grained event classification is one of the most challenging problems in video analysis due to subtle difference between classes an...
Observational data within Post Occupancy Evaluations (POE) has had the problem of being deemed as ‘unreliable’ due to the fact that it is not based on quantifiable, empirical evidence. Even though ethnographic observation is quite effective and ha...
Recent work in image manifold learning has shown the prevalence of unsupervised methods that provide compact representation and perceptually meaningful organization of images in certain types of natural image sets. However, in situations where a d...
