In the field of generic object tracking numerous attempts have been made to exploit deep
features. Despite all expectations, deep trackers are yet to reach an outstanding level of …

Abstract Discriminative Correlation Filters (DCF) have demonstrated excellent performance
for visual object tracking. The key to their success is the ability to efficiently exploit available …

Accurate scale estimation of a target is a challenging research problem in visual object
tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the …

Visual object tracking is challenging as target objects often undergo significant appearance
changes caused by deformation, abrupt motion, background clutter and occlusion. In this …

Robust and accurate visual tracking is one of the most challenging computer vision
problems. Due to the inherent lack of training data, a robust approach for constructing a …

The boom in the capabilities and features of mobile devices, like smartphones, tablets, and
wearables, combined with the ubiquitous and affordable Internet access and the advances …

Robust scale estimation is a challenging problem in visual object tracking. Most existing
methods fail to handle large scale variations in complex image sequences. This paper …

Visual tracking is a challenging problem in computer vision. Most state-of-the-art visual
trackers either rely on luminance information or use simple color representations for image …

Object tracking is one of the most important components in numerous applications of
computer vision. While much progress has been made in recent years with efforts on sharing …

We propose a multi-expert restoration scheme to address the model drift problem in online
tracking. In the proposed scheme, a tracker and its historical snapshots constitute an expert …