We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Abstract. In this paper, we present a framework for segmenting the news programs into different story topics. The proposed method utilizes both visual and text information of the v...
In this paper we propose a scheme for ball detection and tracking in broadcast soccer video. There are two alternate procedures in the scheme: ball detection and ball tracking. In ...
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the sourc...