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Video object segmentation and tracking: A survey
Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …
vision community. These two topics are difficult to handle some common challenges, such …
Deep learning serves traffic safety analysis: A forward‐looking review
This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …
Real-time part-based visual tracking via adaptive correlation filters
Robust object tracking is a challenging task in computer vision. To better solve the partial
occlusion issue, part-based methods are widely used in visual object trackers. However, due …
occlusion issue, part-based methods are widely used in visual object trackers. However, due …
In defense of color-based model-free tracking
In this paper, we address the problem of model-free online object tracking based on color
representations. According to the findings of recent benchmark evaluations, such trackers …
representations. According to the findings of recent benchmark evaluations, such trackers …
Occlusion-aware real-time object tracking
The online learning methods are popular for visual tracking because of their robust
performance for most video sequences. However, the drifting problem caused by noisy …
performance for most video sequences. However, the drifting problem caused by noisy …
Tracking-by-segmentation with online gradient boosting decision tree
We propose an online tracking algorithm that adaptively models target appearances based
on an online gradient boosting decision tree. Our algorithm is particularly useful for non-rigid …
on an online gradient boosting decision tree. Our algorithm is particularly useful for non-rigid …
An experimental survey on correlation filter-based tracking
Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing
interests in the field of visual object tracking, and have achieved extremely compelling …
interests in the field of visual object tracking, and have achieved extremely compelling …
Non-rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps
In this paper, we propose a novel effective non-rigid object tracking framework based on the
spatial-temporal consistent saliency detection. In contrast to most existing trackers that utilize …
spatial-temporal consistent saliency detection. In contrast to most existing trackers that utilize …
Pixeltrack: a fast adaptive algorithm for tracking non-rigid objects
In this paper, we present a novel algorithm for fast tracking of generic objects in videos. The
algorithm uses two components: a detector that makes use of the generalised Hough …
algorithm uses two components: a detector that makes use of the generalised Hough …
Superpixel-based tracking-by-segmentation using markov chains
We propose a simple but effective tracking-by-segmentation algorithm using Absorbing
Markov Chain (AMC) on superpixel segmentation, where target state is estimated by a …
Markov Chain (AMC) on superpixel segmentation, where target state is estimated by a …