We present a method for tracking people in monocular broadcast sports videos by coupling a particle filter with a vote-based confidence map of athletes, appearance features and optical flow for motion estimation. The confidence map provides a continuous estimate of possible target locations in each frame and outperforms tracking with discrete target detections. We demonstrate the tracker on spo...

This paper presents a real-time algorithm that allows robust tracking of multiple objects in complex environments. Foreground pixels are detected using luminance contrast and grouped into blobs. Blobs from two consecutive frames are matched creating the matching matrices. Tracking is performed using direct and inverse matching matrices. This method successfully solves blobs merging and splittin...

Tracking the movement of people in indoor environments is useful for a variety of applications including elderly care, study of shopper behavior in shopping centers, security etc. There have been several previous efforts at solving this problem but with limited success. Our approach uses inexpensive pressure sensors, placed in a specific manner, that allows us to identify multiple people. Given...

Channel repertoires, the subsets of available channels that viewers actually watch, have typically been measured by relying on respondent recall. Using minute-by-minute peoplemeter data from Beijing, this study operationalized channel repertoire as the channels actually watched for 10 or more consecutive minutes during the week. On average, Chinese viewers used 13 channels, about one third of t...

This paper describes a new head detection method for people counting in crowded environments from a single camera. Our method adopts skeleton graph to distinguish person among people in crowded enviroments. The usage of skeleton graph is the main difference between this method and the traditional ones. Firstly, the skeleton graphs are calculated for each selected blob in the scene after foregro...

During face-to-face communication people make use of both verbal and visual behaviors. In this paper we address the problem of tracking visual cues between people. We propose a hybrid approach to tracking who is looking at whom during a discussion or meeting situation. A neural network and a model based gaze tracker are combined to track gaze directions of participants in a meeting. The neural ...

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...