Бібліографічний опис:
Borsuk, Vasyl. Mobile Object Tracking with Siamese Neural Network / Vasyl Borsuk; Supervisor: Orest Kupyn; Ukrainian Catholic University, Faculty of Applied Sciences, Department of Computer Sciences. – Lviv 2022. – 39 p.
Короткий опис (реферат):
Visual object tracking is one of the most fundamental research topics in computer
vision that aims to obtain the target object’s location in a video sequence given the
object’s initial state in the first video frame. The recent advance of deep neural networks,
specifically Siamese networks, has led to significant progress in visual object
tracking. Despite being accurate and achieving high results on academic benchmarks,
current state-of-the-art approaches are compute-intensive and have a large
memory footprint that cannot satisfy the strict performance requirements of realworld
applications. This work focuses on designing a novel lightweight framework
for resource-efficient and accurate visual object tracking. Additionally, we introduce
a new tracker efficiency benchmark and protocol where efficiency is defined in terms
of both energy consumption and execution speed on edge devices.
