Video segmentation based on active vision

نویسندگان

  • Carmine Cesarano
  • Vincenzo Moscato
  • Antonio Picariello
چکیده

In this paper we present a novel approach for video shot segmentation based on active vision techniques. A continuity function is introduced taking into account the results from biological vision and experiments and discussions are carried out.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

SIDF: 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 کامل

A tensor-driven active contour model for moving object segmentation

In this paper we propose an approach to the segmentation of video objects based on motion cues. Motion analysis is performed by estimating local orientations in the spatiotemporal domain using the three-dimensional structure tensor. These estimates are integrated as an external force into an active contour model, thus stopping the evolving curve when it reaches the moving object’s boundary. To ...

متن کامل

MAS for video objects segmentation and tracking based on active contours and SURF descriptor

In computer vision, video segmentation and tracking is an important challenging issue. In this paper, we describe a new video sequences segmentation and tracking algorithm based on MAS "multi-agent systems" and SURF "Speeded Up Robust Features". Our approach consists in modelling a multi-agent system for segmenting the first image from a video sequence and tracking objects in the video sequence...

متن کامل

Motion-based segmentation and classification of video objects

In this thesis novel algorithms for the segmentation and classification of video objects are developed. The segmentation procedure is based on motion and is able to extract moving objects acquired by either a static or a moving camera. The classification of those objects is performed by matching their outlines gathered from a number of consecutive frames of the video with preprocessed views of ...

متن کامل

Department of Electrical Engineering Signal Processing Laboratory Focus of Attention: an Image Segmentation Procedure Based on Statistical Change Detection Focus of Attention: an Image Segmentation Procedure Based on Statistical Change Detection

In many applications of Computer Vision, the detection of what is moving in a video sequence is a crucial task. Consider, for example, the case of surveillance applications, which are those of interest in this report. The main objective for a visual surveillance system is to detect all movements in the monitored areas in order to discriminate between alarm and non-alarm situations. For this app...

متن کامل

ذخیره 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 نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003