We propose a region-based method for model-free object tracking. In our method the object information of temporal motion and spatial luminance are fully utilized. We first compute dominant motion of the tracked object. Using this result we warp the object template to generate a prediction template. Static segmentation is incorporated to modify this prediction, where the warping error of each wa...

The main goal of the present study was to analyze theta asymmetry through quantitative electroencephalography (qEEG) when individuals were exposed to a sequential motor task, i.e. catching a ball. The sample was composed of 23 healthy subjects, male and female, between 25 and 40 years of age. A two-way factor Anova was applied to compare pre and post moments related to the balls' drop and scalp...

A cooperative detection and model-free tracking algorithm, referred to as CDT, for multiple object tracking is proposed in this work. The proposed CDT algorithm has three components: object detector, forward tracker, and backward tracker. First, the object detector detects targets with high confidence levels only to reduce spurious detection and achieve a high precision rate. Then, each detecte...

Planning for multirobot manipulation in dense clutter becomes particularly challenging as the motion of the manipulated object causes the connectivity of the robots’ free space to change. This paper introduces a data structure, the Feasible Transition Graph (FTG), and algorithms that solve such complex motion planning problems. We define an equivalence relation over object configurations based ...

This paper addresses a performance analysis of affine moment invariants for 3D object recognition. Affine moment invariants are commonly used as shape feature for 2D object or pattern recognition. The current study proved that with some adaptation to multiple views technique, affine moments are sufficient to model 3D objects. In addition, the simplicity of moments calculation reduces the proces...

Deformable 3D reconstruction from 2D images requires prior knowledge on the scene structure. Template-free methods [1, 2, 5, 6, 9, 14] use generic prior knowledge such as piecewise smoothness but require multiple images with significant baseline. Template-based methods [4, 10, 13] require only one image but handle only one object for which they need specific prior knowledge, namely a 3D templat...

A Fetch&Inc object stores a non-negative integer and supports a single operation, fi, that returns the value of the object and increments it. Such objects are used in many asynchronous shared memory algorithms, such as renaming, mutual exclusion, and barrier synchronization. We present an efficient implementation of a wait-free Fetch&Inc object from registers and load-linked/store-conditional (...

A simple model is presented for the estimation of image blurring in X-ray microscopy of biological specimens in a hydrated environment. The model is essentially based on thermal diffusion of an object to be imaged. The degree of image blurring by diffusion depends on the following situations of the object. The object is free from, is tightly fixed to, or is partially connected to the surroundin...

A widely used principle in the design of concurrent programs is isolation – the property that a task can operate on shared data without interference from other tasks. In this paper, we introduce a new approach to object-based isolation that is guaranteed to be deadlockfree, while still retaining the rollback benefits of transactions. Further, our approach differentiates between read and write a...

Representing 3D shape in deep learning frameworks in an accurate, efficient and compact manner still remains an open challenge. Most existing work addresses this issue by employing voxel-based representations. While these approaches benefit greatly from advances in computer vision by generalizing 2D convolutions to the 3D setting, they also have several considerable drawbacks. The computational...