The particle filter has attracted considerable attention in visual tracking due to its relaxation of the linear and Gaussian restrictions in the state space model. It is thus more flexible than the Kalman filter. However, the conventional particle filter uses system transition as the proposal distribution, leading to poor sampling efficiency and poor performance in visual tracking. It is not a ...

For tracking a varying number of people using distributed cameras, it is important to deal with appearance/disappearance of people due to various causes including occlusions. We propose a method for tracking people with automatic initialization by integrating observations from distributed cameras and laser range scanners. In our method, the problem of estimating 3D positions and orientations of...

In this paper, we address the problem of detecting and tracking targets with a low signal-to-noise ratio (SNR) by exploiting hybrid differential evolution (HDE) in the particle filter track-before-detect (PF-TBD) context. Firstly, we introduce the Bayesian PF-TBD method and its weaknesses. Secondly, the HDE algorithm is regarded as a novel particle updating strategy, which is proposed to optimi...

Tracking many cells in time-lapse 3D image sequences is an important challenging task of bioimage informatics. Motivated by a study of brain-wide 4D imaging of neural activity in C. elegans, we present a new method of multi-cell tracking. Data types to which the method is applicable are characterized as follows: (i) cells are imaged as globular-like objects, (ii) it is difficult to distinguish ...

Pedestrian tracking plays a crucial role in security and intelligent video surveillance. Occlusion handling is a challenging concern in tracking multiple people. Adaptive, advanced solutions are required to accurately track pedestrians for video surveillance purposes. This paper presents a novel method of tracking multiple people in occlusion conditions. In this study, we developed a combined c...

In this paper, we present a new formulation for the problem of human motion tracking in video. Tracking is still a challenging problem when strong appearance changes occur as in videos of human in motion. Most trackers rely on a predefined template or on a training dataset to achieve detection and tracking. Therefore they are not efficient to track objects which appearance is not known in advan...