Social motor coordination remains a relatively overlooked dimension of social behavior in children with ASD. One reason for the lack of research is that the motion tracking equipment historically used for recording body movements of children during social interaction has been very costly, as well as cumbersome and impractical. Here we examined whether two low-cost motion-tracking options can be...

Successful tracking of articulated hand motion is the first step in many computer vision applications such as gesture recognition. However the nonrigidity of the hand, complex background scenes, and occlusion make tracking a challenging task. We divide and conquer tracking by decomposing complex motion into non-rigid motion and rigid motion. A learning-based algorithm for analyzing non-rigid mo...

Successful tracking of articulated hand motion is the first step in many computer vision applications such as gesture recognition. However the nonrigidity of the hand, complex background scenes, and occlusion make tracking a challenging task. We divide and conquer tracking by decomposing complex motion into non-rigid motion and rigid motion. A learning-based algorithm for analyzing non-rigid mo...

The paper tackles the problem of real-time image motion tracking as a baseline function for visual motion estimation. Motion tracking is performed using the principles of 2D area correlation and joint transform correlation. To cope with real-time requirements a compact embedded optical Joint Transform Correlator design is presented, which allows using image motion tracking in mobile application...

Based on dynamic modeling, robust trajectory tracking control of attitude and position of a spherical mobile robot is proposed. In this paper, the spherical robot is composed of a spherical shell and three independent rotors which act as the inner driver mechanism. Owing to rolling without slipping assumption, the robot is subjected to two nonholonomic constraints. The state space representatio...

Motion detection/estimation plays a crucial role in dynamic visual tracking. Whether a dynamic visual tracking system can successfully track a moving target closely depends on the quality of motion detection/estimation results. In dynamic visual tracking, the camera used to capture images is not stationary, so any slight vibration of the camera motion or the target motion can lead to a blurry i...

Contour tracking is a tough problem since the motion of the contour exhibits a complex dynamic process in which nonlinear deformation often occurs. This paper proposes a supervised approach to deformable contour tracking. The tracking system is built on a dynamic Bayesian network, which introduces one more hidden Markov process to switch among different contours. The contours are used to help t...

Target motion-induced uncertainty in particle therapy is more complicated than that in X-ray therapy, requiring more accurate motion management. Therefore, a hybrid motion-tracking system that can track internal tumor motion and as well as an external surrogate of tumor motion was developed. Recently, many correlation tests between internal and external markers in X-ray therapy have been develo...

PURPOSE For intrafraction motion management, a real-time tracking system was developed by combining fiducial marker-based tracking via simultaneous kilovoltage (kV) and megavoltage (MV) imaging and a dynamic multileaf collimator (DMLC) beam-tracking system. METHODS AND MATERIALS The integrated tracking system employed a Varian Trilogy system equipped with kV/MV imaging systems and a Millenniu...

We will demo FindingHuMo (Finding Human Motion), a real-time user tracking system for Smart Environments. FindingHuMo can perform device-free tracking of multiple (unknown and variable number of) users in the Hallway Environments, just from non-invasive and anonymous (not user specific) binary motion sensor data stream. It can solve complex challenges in multi-user tracking where user motion tr...