Object searching is the identification of an object in an image or video. There are several approaches to object detection, including template matching in computer vision. Template matching uses a small image, or template, to find matching regions in a larger image. In this paper, we propose a robust object searching method based on adaptive combination template matching. We apply a partition s...

We develope a technique to perform e cient and accurate matching to detect the occurence(s) of a template in a scene. The template may describe an object or a textured surface. Representative binary features such as edge points for objects and a set of intensity extrema for textured surfaces are extracted from both test and template images. The search is based on a three-stage \coarsenenal" mat...

In similarity measure, normalized cross-correlation has found application in broad range of in image processing. This work proposes a novel technique aimed at improving the performance of exhaustive template matching based on NCC. An effective sufficient condition, capable of rapidly pruning those cross correlation score with respect to the current best candidate, can be obtained exploiting an ...

ÐHager and Belhumeur [6] recently proposed a general framework for object tracking in video images. It consists of low-order parametric models for the image motion of a target region. These models are used to predict movement and to track the target. The difference in intensity between the pixels belonging to the current region and the pixels of the selected target (learned during an offline st...

The article discusses differences between a priori and a posteriori phrasing and their importance in the task of automatic prosodic phrasing in text-to-speech systems. On several examples it illustrates shortcomings of common evaluation of a priori phrasing performance using a posteriori phrasing of referential corpus data. The paper also proposes and evaluates a method for a priori phrasing ba...

This paper describes a Chinese word segmentation system based on word boundary token model and triple template matching model for extracting unknown words; and word support model for resolving segmentation ambiguity.

Replay of behaviorally induced neural activity patterns during subsequent sleep has been suggested to play an important role in memory consolidation. Many previous studies, mostly involving familiar experiences, suggest that such reactivation occurs, but decays quickly (approximately 1 h). Recently, however, long-lasting (up to approximately 48 h) "reverberation" of neural activity patterns ind...

Particle picking is a crucial first step in the computational pipeline of single-particle cryo-electron microscopy (cryo-EM). Selecting particles from the micrographs is difficult especially for small particles with low contrast. As high-resolution reconstruction typically requires hundreds of thousands of particles, manually picking that many particles is often too time-consuming. While semi-a...