The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Image-based tracking technologies are popular in the behavioral research of zebrafish. The moving trajectory of a zebrafish is derived from the raw videos and the behavior of the zebrafish can be characterized from the moving trajectory. The speed is a common index in characterizing the trajectory of a zebrafish. However, if the trajectory is directly differentiated over time to calculate the instantaneous...
Conventional supervised object recognition methods have been investigated for many years. Despite their successes, there are still two suffering limitations: (1) various information of an object is represented by artificial features only derived from RGB images, (2) lots of manually labeled data is required by supervised learning. To address those limitations, we propose a new semi-supervised learning...
Recognising and understanding the activities performed by people is a fundamental research topic in developing a wi de range of applications that would be societally beneficial. In this article, we present and discuss two research projects on human action recognition based on computer vision techniques. We also report an ongoing research project that focuses on learning human activities through low...
Inspired by interactive segmentation algorithms, we propose an online and unsupervised technique to extract moving objects from videos captured by stationary cameras. Our method consists of two main optimization steps, from local optimal extraction to global optimal segmentation. In the first stage, reliable foreground and background pixels are extracted from input image by modeling distributions...
This paper presents a high performance dual-core reconfigurable processor implementation methodology for a demosaicing system that targets next generation camera systems. The implementation methodology is based on dual-core architecture with coarse-grained dynamically reconfigurable processors. The demosaicing system adopts Freeman's algorithm that has been partitioned and mapped onto two customized...
In this paper, we present a JPEG2000 EBCOT tier-1 encoder based on a hybrid dual-core processor composed of a coarse-grained Dynamically Reconfigurable Processor (DRP) and an ARM core targeting next generation of cameras. The complete EBCOT tier-1 encoder is partitioned into two tasks and mapped onto the two cores respectively according to different potentials of the two processors. A Partial Parallel...
In this paper, we present a high-efficiency reconfigurable lifting-based 2-D Discrete Wavelet Transform (DWT) engine targeting next generation digital cameras. The engine is implemented on a newly emerging Dynamically Reconfigurable (DR) processor architecture that offers superior performance advantages on mobile devices. The 2-D DWT engine can be reconfigured for both 5/3 and 9/7 modes. The scanning...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.