This book covers the description of both conventional methods and advanced methods. In
conventional methods, visual tracking techniques such as stochastic, deterministic …

Surveillance systems employ object tracking methods, a class of automatic data analysis
algorithms, to accurately locate the target or its trajectory under a wide range of constraints …

Previous trackers mostly assume that the target has a smooth motion and perform target
matching within a local window. However, targets often exhibit uncertain movements in real …

In the process of moving target tracking, when the trajectory changes or the target is
occluded during the moving process, the traditional tracking algorithm is prone to loss of …

To enhance the performance of image classification and speech recognition, the optimizer is
considered an important factor for achieving high accuracy. The state‐of‐the‐art optimizer …

Mean shift algorithm (MSA) is a powerful object tracking technique due to its simplicity and
robustness. However, it causes easily the inaccurate tracking when the scene is complex, for …

Unlike deep learning which requires large training datasets, correlation filter-based trackers
like Kernelized Correlation Filter (KCF) uses implicit properties of tracked images (circulant …

Unlike deep-learning which requires large training datasets, correlation filter-based trackers
like Kernelized Correlation Filter (KCF) uses implicit properties of tracked images (circulant …