Underwater computer vision plays a vital role in ocean research, enabling autonomous
navigation, infrastructure inspections, and marine life monitoring. However, the underwater …

Effective collision risk reduction in autonomous vehicles relies on robust and straightforward
pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly …

The Lightweight Integrated Tracking-Feature Extraction (LITE) paradigm is introduced as a
novel multi-object tracking (MOT) approach. It enhances ReID-based trackers by eliminating …

Multi-object tracking (MOT) presents a crucial challenge in robotics. Due to limited resources
embedded in robots, one time step per processing time for algorithms can be considerably …

This research study proposes Drone-TOOD, the low-power consumption task-aligned object
detection algorithm for vehicle detection that was designed from the images captured by …

Multi-object detection and tracking is a crucial and extensively researched field in image
processing and computer vision. It involves predicting complete tracklets for many objects in …

In recent years, military science and technology has been developed rapidly, and new
equipments has been equipped in the army. Augmented Reality (AR) technology provides …

Detecting small objects in high-resolution images is challenging in practical applications.
Downsampling the image makes small objects difficult or impossible to detect, while …

This paper presents a work in progress with comparative results for five state-of-the-art
approaches for pedestrian tracking (Deep OC-SORT, OC-SORT, StrongSORT, BotSORT …

Object detection and tracking are vital components of computer vision, with applications
ranging in fields such as autonomous vehicles, surveillance, robotics, and augmented …