Noncategorical color perception in multiple object tracking

Object Tracking Using Adaptive Object Color Modeling

This paper presents an object tracking method based on the object and background color. A three dimensional feature vector is used to describe color feature (R, G, B) of each pixel. A quantized histogram of that feature value of pixels on the selected object and a quantized histogram of pixels from the neighborhood surrounding the object are developed. The RGB based joint probability density fu...

Fast Active Object Tracking in Color Video

Color Invariant SURF in Discriminative Object Tracking

Tracking can be seen as an online learning problem, where the focus is on discriminating object from background. From this point of view, features play a key role as the tracking accuracy depends on how well the feature distinguish object and background. Current discriminative trackers use traditional features such as intensity, RGB and full body shape features. In this paper, we propose to use...

Fast Kctive Object Tracking in Color Video

An important problem in image analysis is object segmentation and tracking in image sequences. It involves the isolation of a single object from the rest of the image that may include other objects and a background. Here, we focus on boundary detection of one or several objects by a dynamic model known as the 'geodesic active contour' introduced in [3-61, see also [ll, 171. Although the geodesi...

Color based multiple people tracking

In this paper, we address the probleni of tmcking multiple people in a cluttered environment had on thorough usage of color infomintion. We introduce color invariants to the proposed conihineci color spxtial model, which combines the low-level arid nlid<ilelevel color spatial infomiation togetlier. This formalization gives ils a way to coiiibine low-level ~ n d middle-level color spatial distri...