Object contour detection is the fundamental and preprocessing step for multimedia
applications such as icon generation, object segmentation, and tracking. The quality of …

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4,680,787 4,680,835 4,681,576 4,866,770 4,884,091 5,045,940 5,179,383 5,218,435 …

This paper first presents an improved trajectory-based algorithm for automatically detecting
and tracking the ball in broadcast soccer video. Unlike the object-based algorithms, our …

Abnormal crowd behaviors in high density situations can pose great danger to public safety.
Despite the extensive installation of closed-circuit television (CCTV) cameras, it is still …

This paper presents a novel trajectory-based detection and tracking algorithm for locating
the ball in broadcast soccer video (BSV). The problem of ball detection and tracking in BSV …

Recent Deep Neural Networks (DNNs) based edge detection methods claim to beat human
performance on small scale datasets like BSDS500. But is the problem of edge detection …

Abstract Existing Deep-Learning-based contour detectors suffer from the issues of the
sharpness and the correctness of their predictions, which often need offline post-processing …

We propose a novel object detection and tracking method in order to detect and track
objects necessary to describe contents of a soccer game. On the contrary to intensity …

Edge detection is a crucial process in numerous stages of computer vision. This field of
study has recently gained momentum due to its importance in various applications. The …

Contour detection plays an important role in both academic research and real-world
applications. As the basic building block of many applications, its accuracy and efficiency …