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.
This paper presents a method to establish a nonlinear temporal correspondence between two video sequences captured by cameras independently moving in a dynamic 3D scene. We assume that the 3D spatial poses of the cameras are known for each frame. With predefined trajectory basis, the coefficients of the reconstructed trajectory of a moving scene point reflect the rhythm in motion. A robust rank constraint...
In this paper, we propose a figure-aware tracking framework incorporating figure/ground repulsive forces in a simultaneous detect let classification and clustering problem in the joint space of detect lets and trajectlets for monocular videos. Without depth/disparity, fine-grained trajectlets tend to cause under-segmentation of similarly moving objects or over-segmentation of articulated objects into...
In video sensor network, acquiring the optimal facial images is of great significance for improving the efficiency of pedestrian target recognition and enhancing the performance of video sensor network. In this paper a new optimal facial images acquiring method based on collaborative information processing in video sensor network is proposed to improve facial images obtaining efficiency and reduce...
This paper proposes a new interval modulated target sensing scheme for energy restraint wireless sensor networks. While most of recent researches assume a time invariant sensing interval, our proposed sensing scheme considers the selection of sensing sensors and the modulation of sensing intervals at the same time. We utilize particle filter algorithm to get the predicted target state, which is used...
Target tracking is an important task addressed in wireless sensor network (WSN), because the resources of WSN are limited. A distributed lightweight particle filter algorithm is proposed to achieve robust target tracking with low resource requirement in the WSN consisting of acoustic sensor nodes. In the proposed algorithm, each sensor node carries out partial particle filter with its local data and...
This paper deals with the optimization of the observer trajectory when an observer tracks a constant acceleration target. First, optimal control theory is applied to establish the optimal maneuver model of an observer. Second, at range accuracy criterion, necessary conditions for optimal observer course are resolved by analytical means. Finally, the influence of observer speed target acceleration...
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.