It is becoming increasingly prevalent in digital learning research to encompass an array of
different meanings, spaces, processes, and teaching strategies for discerning a global …

Current widely employed clustering approaches may not yield satisfactory results with
regard to the characteristics and distribution of datasets and number of clusters to be sought …

Conventional tracking-by-detection approaches for visual object tracking often assume that
the task at hand is a binary foreground-versus-background classification problem, in which …

This paper proposes a method to deal with long-term robust object tracking in unconstrained
environment. The approach exploits both target and background information on the fly …

为了研究无约束环境下长时间可视跟踪问题, 提出了一种在线学习多重检测的对象跟踪方法.
该方法以随机蕨作为基础检测器结构, 通过在线学习的方式, 将目标对象的整体和局部表观 …

The main objective of this report is to analyse existing data sets for video analytics (VA) and
to determine how best to enable collection/common access to data sets in the EU for …

We propose a visual tracking method using multiple Hough detectors to address the
problem of long-term robust object tracking in unconstrained environments. The method …

A tracking method based on adaptive relay detection using primary and auxiliary detectors is
proposed. In this framework, the tracking problem is formulated as the continuous relay …

We propose a tracking method based on minimization of multi-detector trajectory entropy.
Multiple detectors are constructed online to track objects synchronously by mutual …

Object detection or object tracking are often the first steps towards an automatic video
analysis. Numerous applications, such as visual surveillance, industrial applications or …