Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. The increasing achievement of the Web has led people to exploit collaborative technologies in order to encourage partnerships among different groups. The problem of tracking community in social networks inferred from online interactions by tracking evoluti...

In this paper we propose a new people tracking system that uses a single stereo camera fixed at a high position and observing the scene at an oblique angle. We introduce the notion of world-Z map and show that 3D people detection and segmentation can be performed efficiently in this map and outperforms significantly the methods based on depth or plan-view. Detection and tracking play complement...

We present methods for tracking people in dynamic and changing environments from camera mounted on a mobile robot. We describe processes to extract color, motion, and depth information from video and we present methods to merge these processes to allow for reliable tracking of people. We discuss how this merging of different measurements can aid in instances where there is motion in the scene d...

Tracking multiple people online and in real time Report Title We cast the problem of tracking several people as a graph partitioning problem that takes the form of an NP-hard binary integer program. We propose a tractable, approximate, online solution through the combination of a multistage cascade and a sliding temporal window. Our experiments demonstrate significant accuracy improvement over ...

In this paper, we present a multi-modal fusion scheme for tracking and behavior analysis in Smart Home environments. This is applied to tracking multiple people and detecting their behavior. To this end, information from multiple heterogeneous sensors (visual color sensor, thermal sensor, infrared sensor and photonic mixer devices) is combined in a common 3D voxel occupancy grid. Graph cuts are...

Tracking multiple people and their behaviours is a fundamental task for visually mediated interaction. We present VIGOUR, a platform for simultaneously tracking of multiple people and recognition of their behaviours for highlevel interpretation. Through perceptual integration, different types of visual information are fused to combine the benefits of different techniques. Robust low-level visua...

In this paper we present a robust real-time method for tracking multiple people from multiple cameras. Our method uses both static and Pan-Tilt-Zoom (PTZ) cameras. The static cameras are used to locate people in the scene, while the PTZ cameras “lock-on” to the individuals and provide visual attention. The system provides consistency in tracking between PTZ cameras and works reliably well when ...

This paper addresses the problem of the evaluation of people counting systems. The relation between the real people number and the output of the people counting system is used to motivate the computation of the maximum number of people as a scenario and geometry specific quantity which supports the evaluation of the system output. Based on the camera field-of-view we determine the maximum numbe...

Multiple people activity recognition system is an essential step in Ambient Assisted Living system development. A possible approach for multiple people is to take an existing system for single person activity recognition and extend it to the case of multiple people. One approach is Multiple Hypothesis Tracking (MHT) which provides capabilities of multiple people tracking and activity recognitio...