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Visual solution methods, like monocular visual odometry and monoSLAM, have attracted increasingly interests in robotics area. However, due to the large computational burden around volume sequential images processing, it is still hard to make numerous visual-based algorithms applying in highly agile platforms like Micro Aerial Vehicle (MAV) in real-time circumstance. In this paper, we present a method,...
Object detection and tracking using background subtraction suffers from the fragmentation problem which means one object fragments into several blobs because of being similar with the reference image in color. In this paper, we build a visual tracking framework using background subtraction for object detection, and we address the association difficulty of blobs with objects caused by the fragmentation...
We define a leader-follower flocking system in which a few members are group leaders who have global trajectory knowledge, while majority members are group followers who can communicate with neighbors, but do not have global trajectory information. The followers even do not know who are the leaders in the group. All group members estimate the position of flocking center by using a consensus algorithm...
This paper presents a leader-follower flocking system based on local sensor information. In this system, the leader robot knows global trajectory, tries to track the global trajectory, and has the ability to avoid collisions. The follower robots do not know global trajectory. They only use local sensors to acquire relative information between neighbors. In this paper they use a laser scanner to obtain...
In this paper, a novel data-driven 3D animation system is developed for stroke patients to use remotely at home environments to recover their motor function. This system consists of four main components, namely human motion tracking, data analysis diagram, data-driven arm animation, and text-driven speech animation. It also contains an expert database and transmission of data files over the Internet...
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