... real - time implementation , but a highly accurate tracking algorithm is usually time - consuming . This paper pro- poses a CPU - GPU platform based particle filter for multi - view ball track- ing , including 2 proposals : vectorized ...
... based on the UAV dataset and has not been applied to the UAV physical object. To solve the problem, Chakrabarty et al. [11] combined a CMT tracking algorithm with a UAV platform, and completed the relative distance keeping and real-time ...
... based filtering techniques i.e., PHD, labeled multi-Bernoulli (LMB) filters, to tackle the underlying multi-target tracking problem. PHD and LMB filters have been presented to be effective in tracking applications that require particle ...
This book is a must-have for anyone serious about rendering in real time. With the announcement of new ray tracing APIs and hardware to support them, developers can easily create real-time applications with ray tracing as a core component.
... target object in each frame of an input image sequence [6]. Up to now, many object tracking approaches have been developed, such as PF (Particle ... Real time¡± is an inherent requirement for image tracking applications. How- ever, KLT ...
This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently.
This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems.
If you are a beginner in parallel programming and would like to quickly accelerate your algorithms using OpenCL, this book is perfect for you! You will find the diverse topics and case studies in this book interesting and informative.