Identity switches caused by inter-object interactions remain a critical problem for multi-player
tracking in real-world sports video analysis. Existing approaches utilizing the appearance …

This paper presents a hierarchical composition approach for multi-view object tracking. The
key idea is to adaptively exploit multiple cues in both 2D and 3D, eg, ground occupancy …

This paper presents a review and comparative study of recent multi-view approaches for
human 3D pose estimation and activity recognition. We discuss the application domain of …

In this paper, we introduce a new probabilistic method which integrates building extraction
with change detection in remotely sensed image pairs. A global optimization process …

In this paper, we propose a Spatio-temporal Attributed Parse Graph (ST-APG) to integrate
semantic attributes with trajectories for cross-view people tracking. Given videos from …

Multi-camera pedestrian detection is the challenging problem in the field of surveillance
video analysis. However, existing approaches may produce “phantoms”(ie, fake …

In this paper, we propose an approach on real-time 3D people surveillance, with
probabilistic foreground modeling, multiple person tracking and on-line re-identification. Our …

In this paper, we introduce an automated Bayesian visual inspection framework for printed
circuit board (PCB) assemblies, which is able to simultaneously deal with various shaped …

Aiming to understand how human (false-) belief—a core socio-cognitive ability—would affect
human interactions with robots, this paper proposes to adopt a graphical model to unify the …

Action recognition is an important research problem of human motion analysis (HMA). In
recent years, 3D observation-based action recognition has been receiving increasing …