Generalized playfield segmentation of sport videos using color features
نویسندگان
چکیده
This paper proposes a generalized method for playfield segmentation of various sport videos. It first estimates the probability density function (pdf) of color components of an image frame. Two hill-climbing schemes, which employ two-dimensional pdf and one-dimensional pdf, respectively, are proposed for clustering. Next, a novel algorithm that utilizes the domain knowledge of sport playfields is developed to merge those clusters into four color classes: red, green, blue, and gray. Finally, a simple scheme fuses small regions into their adjacent large regions to obtain the segmentation result. The experimental results indicate that the proposed method effectively segments the playfield regions of various sport videos. 2011 Elsevier B.V. All rights reserved.
منابع مشابه
Playfield Segmentation for Baseball Videos Using Adaptive Gmms
Playfield is one of main parts appearing in typical scenes of sports videos. The segmentation of playfield is essential because it usually offers important cue of higherlevel content in sport videos. The colors in playfield may change significantly due to variation of illumination, which thus results in a large amount of segmentation errors for color-based segmentation schemes. In this paper, w...
متن کاملPlayers and Ball Detection in Soccer Videos Based on Color Segmentation and Shape Analysis
This paper proposes a scheme to detect and locate the players and the ball on the grass playfield in soccer videos. We put forward a shape analysisbased approach to identify the players and the ball from the roughly extracted foreground, which is obtained by a trained, color histogram-based playfield detector and connected component analysis. We employ Euclidean distance transform to extract sk...
متن کاملSIDF: A Novel Framework for Accurate Surgical Instrument Detection in Laparoscopic Video Frames
Background and Objectives: Identification of surgical instruments in laparoscopic video images has several biomedical applications. While several methods have been proposed for accurate detection of surgical instruments, the accuracy of these methods is still challenged high complexity of the laparoscopic video images. This paper introduces a Surgical Instrument Detection Framework (SIDF) for a...
متن کاملScene Classification for Baseball Videos Using Spatial and Temporal Features
Correct classification of various kinds of scenes in sport videos is essential for higher-level content analysis such as event detection. The paper presents a novel technique for the classification of the typical scenes of baseball videos. The spatial color features are employed to detect pitch scene first. The temporal features derived from a shot are utilized to classify infield and outfield ...
متن کاملکاهش رنگ تصاویر با شبکههای عصبی خودسامانده چندمرحلهای و ویژگیهای افزونه
Reducing the number of colors in an image while preserving its quality, is of importance in many applications such as image analysis and compression. It also decreases memory and transmission bandwidth requirements. Moreover, classification of image colors is applicable in image segmentation and object detection and separation, as well as producing pseudo-color images. In this paper, the Kohene...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 32 شماره
صفحات -
تاریخ انتشار 2011