High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …

In recent years, autonomous vehicles have become more and more popular due to their
broad influence over society, as they increase passenger safety and convenience, lower fuel …

This paper introduces a system capable of real-time video surveillance in low-end edge
computing environment by combining object detection tracking algorithm. Recently, the …

Multi-object tracking (MOT) systems often rely on accurate object detectors; however,
accurate detectors are not available in every application domain. We present Robust …

Pedestrian detection has emerged as a fundamental technology for autonomous cars,
robotics, pedestrian search, and other applications. Although many excellent object …

The honey bee is the most essential pollinator and a key contributor to the natural
ecosystem. There are numerous ways for thousands of bees in a hive to communicate with …

Tracking the behavior of animals and their group dynamics in nature offers a crucial look into
the delicate ecological networks that compose wildlife diversity. The velvety tree ant …

The ant behavior is an intrinsically fascinating topic. The movement of ants provides a rich
source of social behavior for evaluating motion estimation methods. Studies on ants motion …

There exists no comprehensive metric for describing the complexity of Multi-Object Tracking
(MOT) sequences. This lack of metrics decreases explainability, complicates comparison of …

Visual tracking of tiny and low-contrast objects such as insects in cluttered natural
environments is a very challenging computer vision task. This is particularly true for machine …