In centralized transportation surveillance systems, video is captured and compressed at low
processing power remote nodes and transmitted to a central location for processing. Such …

The compression of video can reduce the accuracy of tracking algorithms, which is
problematic for centralized applications that rely on remotely captured and compressed …

We propose a new context-aware correlation filter based tracking framework to achieve both
high computational speed and state-of-the-art performance among real-time trackers. The …

Video object tracking represents a very important computer vision domain. In this paper, a
perceptual hashing based template-matching method for object tracking is proposed to …

The existing body of work on video object tracking (VOT) algorithms has studied various
image conditions such as occlusion, clutter, and object shape, which influence video quality …

Accurate object tracking is important in defense applications where an interceptor missile
must hone into a target and track it through the pursuit until the strike occurs. The expense …

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 …

Generative subspace models like probabilistic principal component analysis (PCA) have
been shown to be quite effective for visual tracking problems due to their representational …

Visual tracking in wide area motion imagery (WAMI) is an important problem in security
related tasks. The extremely low frame rate and the large camera motion in such videos …

A fundamental component of modern trackers is an online learned tracking model, which is
typically modeled either globally or locally. The two kinds of models perform differently in …