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...
Multiple object tracking is a fundamental problem within computer vision and has a wide range of applications. Although well studied, it remains a difficult task especially in scenarios which contain many occluding and highly similar appearing obj...
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...
