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Block-based motion estimation (ME) has been widely used in various video coding standards due to its effectiveness removing temporal redundancy. It plays a key role in the transmission and storage of video signals at reduced bit rates. In this paper, a novel motion estimation algorithm is proposed to enhance video quality by reflecting enlarging and reducing movements such as zoom in/out scene. The...
There are two practical problems in image fusion by using Dempster-Shafer (DS) combination rule: one is the classical DS rule involves counter-intuitive behaviors when deal with high conflict information, another is that it is difficult to determine the basic mass function of pixels. A method of image fusion with modified DS evidence theory is proposed to recognize small infrared targets in image...
The hand jitter usually has a negative effect on recorded video, but combined with intentional camera motion, it forms a unique global motion pattern intrinsic to the video sequence. Therefore a useful application that involves hand jitter would be to identify videos taken by hand-held devices by extracting and matching a compact descriptor entirely based on global motion. We confirm this idea via...
Detecting people carrying objects is a commonly formulated problem as a first step to monitor interactions between people and objects. Recent work relies on a precise foreground object segmentation, which is often difficult to achieve in video surveillance sequences due to a bad contrast of the foreground objects with the scene background, abrupt changing light conditions and small camera vibrations...
Designing static object detection systems that are able to incorporate user interaction conveys a great benefit in many surveillance applications, since some correctly detected static objects can be considered to have no interest by a human operator. Interactive systems allow the user to include these decisions into the system, making automated surveillance systems more attractive and comfortable...
Detecting static objects in video sequences has a high relevance in many surveillance scenarios like airports and railwaystations. In this paper we propose a system for the detection of static objects in crowded scenes that, based on the detection of two background models learning at different rates, classifies pixels with the help of a finite-state machine. The background is modelled by two mixtures...
We address the problem of recognizing actions in reallife videos. Space-time interest point-based approaches have been widely prevalent towards solving this problem. In contrast, more spatially extended features such as regions have not been so popular. The reason is, any local region based approach requires the motion flow information for a specific region to be collated temporally. This is challenging...
The importance of edge fidelity in image resizing is well established. Isophotes, or connected pixels of equal intensity, are essential to human perception of static images and interpolation methods that disrupt isophote curvature produce distracting artifacts. We introduce a new image resizing algorithm based on the principles of optical flow. The optical flow equation assumes that for every pixel...
This paper proposes a cost effective frame-lock scaling engine to reduce the embedded memory size. The key technique is the H-V scaling direction interchangeable architecture. Evaluation results show that the proposed design can reduce 76% and 10% embedded memory requirements as compared with two types of conventional scaling engine.
As one fast developing field of GIS, mobile mapping system (MMS) is the trend of state of art mapping technique and digital measurable image (DMI) sequence is the main data type for MMS. Given the DMI data acquired, it's a tough but necessary task to segment the GIS object of interest (OOI) for various engineering applications. This paper proposed a novel hybrid method to segment the GIS object in...
An automatic lips contour detection and tracking using an enhanced snake model and modified H∞ is presented in this paper. For the conventional snakes, the resultant contour would be converged wrongly if the initial snake point is situated far from the lip edges, or with the existence of the tongue and teeth. Consequently, a new external force based on watershed approach is proposed and absorbed into...
This paper presents the challenging issue of target detecting and pose estimation in Forward Looking Infrared (FLIR) sequences. Target detecting and pose estimation are formulated as one process. Specifically, a new mixture of Gaussians model is proposed to detect target appearances. A probability based method is used to estimate the target position and size, where the detected appearance plays an...
New method improving B-slice prediction is proposed. By combining the optical flow concept and high accuracy gradients evaluation we construct the algorithm which allows pixel-wise refinement of motion. This approach does not require any signaling for decoder. According to tests with WQVGA sequences bit-saving of 2%-6% can be achieved using this tool.
Currently, depth sequences generated by automatic depth estimation suffer from the temporal inconsistency problem. Estimated depth values of some objects vary in adjacent frames, whereas the objects actually remain on the same depth planes. These temporal depth errors significantly impair the visual quality of the synthesized virtual view as well as the coding efficiency of the depth sequences. Since...
A new detection method is presented for the detection of dim small targets from infrared image sequences is presented. Firstly, Robinson guard filter suppresses the background clutter in single frame. Secondly, a auto-adaptive threshold algorithm is applied to segment the potential targets from background. Finally, the bi-direction chain is used to identify the real target base on the continuity of...
Nonuniformity correction plays an important role in improving image quality of the infrared focal plane array. A self-adaptive nonuniformity correction algorithm for infrared images combined with two-point correction along the rim is proposed in this paper. With the help of perimeter blackbody in low and high temperature, two-point correction is executed initially to perimeter detectors. Then based...
Firstly this paper discusses drawbacks of traditional adjacent frame difference motion detection method. Then we propose to restore video sequence background using image energy, higher order statistics theory, plus some background constrains criteria. Lastly, instead of using adjacent frame difference method, background based difference is used to detect moving regions. Our tests indicate the proposed...
Super resolution reconstruction is an important branch of image processing that extracting high resolution images containing more details from an image sequence of low resolution, by image processing such as motion estimation, de-blurring and de-noising. Currently super resolution is an economical and practical algorithm that can be used to improve image resolution in remote monitoring, remote sensing...
In this paper, we propose a real-time ground plane extraction and obstacle detection technique for mobile robot navigation based on a combination of segmentation and optical flow techniques using monocular image sequences. The ground plane, which is captured using a calibrated camera, mounted on a robot platform, has been segmented in a two step process. In the first step which is an offline process,...
A novel video object segmentation algorithm is proposed based on mixtures of probabilistic principal component analysis (MPPCA) in this paper. The number of mixture components of MPPCA is estimated and the expectation maximization (EM) algorithm is initialized through segmentation projection after extracting feature. Then the EM algorithm is applied to estimate the distribution of feature vectors...
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