We describe a method for recovering the extrinsic calibration parameters of non-overlapping cameras in a multi-camera system. Non-overlapping camera networks can cover a much wider area than overlapping configurations, but calibrating them is more challenging. To compensate for the lack of overlap, our approach assumes that the calibration target follows a smooth trajectory over time, as descri...

The dissertation aims to address a number of important systems-related problems associated with smart camera networks, consisting of autonomous and cooperative camera nodes, to enable capturing most useful physical phenomena and managing the captured data efficiently. Specifically, a smart camera network should autonomously configure itself in order to maximize the total useful information it c...

In this paper, we utilize the advantages of an event camera to tackle visual place recognition (VPR) problem. The camera’s high measurement rate, low latency, and dynamic range make it well-suited overcome limitations conventional vision sensors. However, apply existing convolutional neural networks (CNNs) based algorithms such as NetVLAD, asynchronous stream should be converted a synchronous i...