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 …

This paper proposes a novel compressive sensing based perceptual hashing algorithm for
visual tracking. A tracking object is represented by dimensionality reduced feature projected …

In this paper, we propose a novel tracking framework based on a sparse and discriminative
hashing method. Different from the previous work, we treat object tracking as an …

Deep network has been proven efficient and robust to capture object features in some
conditions. It still remains in the stage of classifying or detecting objects. In the field of visual …

In this paper, perceptual hash codes are adopted as appearance models of objects for
visual tracking. Based on three existing basic perceptual hashing techniques, we propose …

Visual tracking is a popular topic in computer vision due to its importance in surveillance,
action recognition and event detection. The feature to describe the visual object is an …

In this paper, we propose a novel tracking framework based on discriminative supervised
hashing algorithm. Different from previous methods, we treat tracking as a problem of object …

In this paper, we propose an online hashing tracking method with a further exploitation of
spatio-temporal saliency for template sampling. Specifically, spatio-temporal saliency is …

Appearance model is a key part of tracking algorithms. To attain robustness, many complex
appearance models are proposed to capture discriminative information of object. However …

The two well-known problems of the existing inter-frame differencing are foreground
aperture and ghosting for low-speed moving targets or homogeneous color targets. To …