Particle filter for object tracking could achieve high tracking accuracy. To track the object, this method generates a number of particles which is the representation of the candidate target object. The location of target object is determined by particles and each weight. The disadvantage of conventional particle filter is the computational time especially on the computation of particle’s weigh...

The paper represents an effective and robust facial feature tracking approach based on the multi-cue particle filter. Both color and edge distributions are integrated into the filter to ensure the tracking accuracy. Sub-region color model is used to rapidly depict the spatial layout of each facial feature. Furthermore, the paper uses edge orientation histogram as a complementary feature to enha...

Considering that the robust real-time tracking of non-rigid objects is difficult to realize, We present an objects detecting and tracking method based on mean-shift particle filter (MSPF) and support vector machine (SVM). The proposed algorithm uses the mean-shift vector of the tracking object to update the state transition matrix of particle filter algorithm, and we define the criterion of the...

This paper describes a 3D template-based tracking method that allows simultaneous tracking of multiple objects of different type. The assumption is that movements of all objects are constrained to a ground plane so that the tracking functionality can be accomplished using just one properly calibrated camera. The tracking algorithm is based on particle filtering where each particle represents on...

Tracking underwater targets is a focused application area in modern underwater defence systems. Using traditional techniques based on imaging or sensor arrays may be difficult and impractical in some mission-critical systems. Alternatively, the underwater wireless sensor network UWSN is able to offer a promising solution. This paper tackles the problem of accurately tracking underwater targets ...

In the study, a real time pedestrian tracking algortithm is presented using thermal infrared imagery. It makes use of the characteristics of pedestrian body regions in infrared images, which is based on a particle filter framework. The method constructs the regions of interest's (ROI) histogram representation in an intensity-distance projection space model, so as to hurdle the disadvantage of i...

Particle filtering is a widely used method to solve vision tracking problems. However, to be able to run in real-time on standard architecture, the state vector used in the particle filter must remain small [1]. We propose a parallel implementation of a 3D tracking algorithm operating on a stereo video stream and running in real-time on a cluster architecture. We demonstrate the efficiency of t...