This paper presents a method for tracking multiple objects using multiple cameras that integrates spatial position, shape and color information to track object blobs. Given three known points on the ground, camera calibration is computed by solving a set of quaternionbased nonlinear functions rather than solving approximated linear functions. By using a quaternion-based method, we can avoid the...

This paper discusses a practical framework for the semi{ automatic construction of evaluation functions for games. Based on a structured evaluation function representation, a procedure for exploring the feature space is presented that is able to discover new features in a computational feasible way. Besides the theoretical aspects, related practical issues such as the generation of training pos...

Building extraction in aerial orthophotos is crucial for various applications. Currently, deep learning has been shown to be successful in addressing building extraction with high accuracy and high robustness. However, quite a large number of samples is required in training a classifier when using deep learning model. In order to realize accurate and semi-interactive labelling, the performance ...