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This work proposes a trajectory clustering-based approach for segmenting flow patterns in high density crowd videos. The goal is to produce a pixel-wise segmentation of a video sequence (static camera), where each segment corresponds to a different motion pattern. Unlike previous studies that use only motion vectors, we extract full trajectories so as to capture the complete temporal evolution of...
The hypothesis that reaching motions are constructed from discrete components has been explored since the earliest scientific investigations of human movement, although composition specifics have been contentious. We reinspect this process by analyzing the underlying motor intent (rather than actual motion) using our recently-developed intent determination technique. First, synthetic data analysis...
For trajectory model to study mining, using Vector Fields on Manifold instead of the Euclidean distance to metric similarity between trajectories, multi scale transform method is used to optimize the mapping in the Vector Fields on Manifold trajectory distance calculation and use Som algorithm for training a classification model. This method will be the trajectory shape features to measure the similarity...
Dexterous continuum manipulators (DCMs) offer great potential for increasing instrument reach in minimally-invasive surgical procedures. We previously designed and fabricated a tendon driven DCM with a large instrument channel and evenly distributed compliant joints for minimally-invasive skull base surgery and the treatment of osteolysis during hip revision surgery. The evenly distributed compliant...
An approach to automatically detect bacteria division with temporal models is presented. To understand how bacteria migrate and proliferate to form complex multicellular behaviours such as biofilms, it is desirable to track individual bacteria and detect cell division events. Unlike eukaryotic cells, prokaryotic cells such as bacteria lack distinctive features, causing bacteria division difficult...
A problem of motion planning and coordination of compact formations of ground and aerial robots will be tackled in this paper. The scenarios when the formation composed from Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs), in particular Micro Aerial Vehicles (MAVs), has to reverse the direction of movement to fulfil task of collisionfree motion to a target zone will be solved....
This paper describes the development of an inchworm robot. A new adhesion mechanism was inspired by the inchworm's behavior and empirically designed by using active shape control of suction cups. The equation of the motions of the robot are derived, and three gaits are developed. The robot is built and experimentally evaluated.
Sheet Metal Bending is a common process used in many heavy industry sectors such as shipbuilding. The traditional method is the so-called line heating, which is not only labor intensive but also inefficient and error-prone. This paper presents a new incremental bending method based on minimum energy principle. In this method, the steel blank is supported by an array of hydraulic cylinders with rotary...
To meet the requirements of contouring accuracy, multi-axis coordination, and high productivity in the fields of machining tools, many researchers devote to exploring various strategies in terms of controller design, coordinate frame construction, and trajectory planning for high-performance multi-axis motion. In this paper, a generalized global task coordinate frame (GTCF) is constructed for complicated...
The online writer identification is a required component in many applications of Computer vision and Pattern Recognition. The offline writer identification is more developed in literature due to the use of traditional system based on Image Processing. There is a lack of works done in the case of online writer identification. In this paper, we propose a novel method to text independent writer identification...
Recognizing human action from low-resolution (LR) videos is essential for many applications including large-scale video surveillance, sports video analysis and intelligent aerial vehicles. Currently, state-of-the-art performance in action recognition is achieved by the use of dense trajectories which are extracted by optical flow algorithms. However, the optical flow algorithms are far from perfect...
Sign Language Recognition (SLR) aims at translating the sign language into text or speech, so as to realize the communication between deaf-mute people and ordinary people. This paper proposes a framework based on the Hidden Markov Models (HMMs) benefited from the utilization of the trajectories and hand-shape features of the original sign videos, respectively. First, we propose a new trajectory feature...
Automatic robotic drawing is a fantastic demo to show the combination of intelligence and robot technique. It requires automatic feature extraction, complex robot path planning and optimization, which can make many contributions in industrial manufacturing. In this paper, we propose a hybrid method by combining local binarization with global binarization to extract features. The extracted features...
Trajectory simplification is a problem encountered in areas like Robot programming by demonstration, CAD/CAM, computer vision, and in GPS-based applications like traffic analysis. This problem entails reduction of the points in a given trajectory while keeping the relevant points which preserve important information. The benefits include storage reduction, computational expense, while making data...
Traditional Techniques for Blood Source Recognition results in a crime scene contamination. The physical strings is most popular method. The impact angle identification and reconstruction of 3D trajectory are the main objective. Whereas the trajectory path is identified as a linear path. The human factor leads to number of error and false results. This method also neglect the gravity factor. The distance...
Muscle weakness is one of the major deficits after stroke but specific strength training is seldom included in robot-assisted rehabilitation. At the same time, the emergence of robotic devices for stroke therapy offers technical possibilities for strength training. We propose a control strategy for strength training that is based on a viscous force field shaped towards the patient's performance abilities...
Forming a predetermined spatial shape is one of the most important problems of modern swarm robotics. The work presented here focuses on the motion planning for the swarm of identical robots in the task of spatial reconfiguration. The main requirement is that the reconfiguration must be collision free, that is, at each moment the pairwise distances between robots should not be smaller than some fixed...
Open government data (OGD) can promote transparency and accountability. While OGD intervenes in political spaces and interests related to transparency agendas, little attention has been paid to the influence of existing transparency initiatives on the way OGD initiatives are designed and implemented. This paper analyzes the influence of the transparency agenda on OGD in order to understand how past...
We propose a strategy to curve the trajectory of the central lobe of a zero order Bessel beam Jo(αr) [1] along its propagation axis. The proposed method involves modifying the phase of the beam incident on an adaptive mirror. We show that the central lobe of the beam can be propagated along parabolic and cubic trajectories while preserving its symmetry. Theoretical simulations were reproduced in laboratory...
We propose a method to reduce angle random walk in rate-integrating gyroscopes via additive control forces. By construction, we show that hyperbolic velocity forces satisfy this goal, demonstrate their effect with Monte Carlo simulations and discuss applicability and possible side effects.
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