Conventional particle filtering-based visual ego-motion estimation often suffers from large local linearization errors in the case of abrupt camera motion. The main contribution of this paper is to present a novel particle filteringbased visual ego-motion estimation algorithm that is especially robust to the abrupt camera motion. The robustness to the abrupt camera motion is achieved by multi-l...

Stability and performance are two main issues in motion of bipeds. To ensure stability of motion, a biped needs to follow specific pattern to comply with a stability criterion such as zero moment point. However, there are infinity many patterns of motion which ensure stability, so one might think of achieving better performance by choosing proper parameters of motion. Step length and step perio...

Nowadays with increasing use of numerous nonlinear loads, voltage and current harmonics in power systems are one of the most important problems power engineers encounter. Many of these nonlinear loads, because of their dynamic natures, inject time-varying harmonics into power system. Common techniques applied for harmonics measurement and assessment such as FFT have significant errors in presen...

In recent years Sequential Monte Carlo (SMC) algorithms have been applied to capture the motion of humans. In this paper we apply a SMC algorithm to capture the motion of an articulated chain, e.g., a human arm, and show how the SMC algorithm can be improved in this context by applying auxiliary information. In parallel to a model-based approach we detect skin color blobs in the image as our au...

introduction: there are several technical features that make pet an ideal device for the noninvasive evaluation of cardiac physiology. organ motion due to respiration is a major challenge in diagnostic imaging, especially in cardiac pet imaging. these motions reduce image quality by spreading the radiotracer activity over an increased volume, distorting apparent lesion size and shape and reduci...

Accurate and real-time tracking of the orientation or attitude of rigid bodies has traditional applications in robotics, aerospace, underwater vehicles, human body motion capture, etc. Towards human body motion capture, especially wearable devices, the use of a longer time has always been a challenge for several weeks or several months continuously, so a low-cost chip and a low computational co...

The subpath planning problem (SPP) is a branch of path planning problem, which has widespread applications in automated manufacturing process as well as vehicle and robot navigation. This problem aims to find the shortest path or tour subject to covering a set of given subpaths. By casting SPP to a graph routing problem, we propose a deterministic 2-approximation algorithm finding near optimal ...

In this paper, we propose an extended successive elimination algorithm (SEA) for fast optimal block matching motion estimation (ME). By reinterpreting the typical sum of absolute differences measure, we can obtain additional decision criteria whether to discard the impossible candidate motion vectors. Experimental results show that the proposed algorithm reduces the computational complexity up ...