More than 1.5 billion people worldwide are expected to watch the 2026 World Cup finals. With that many fans scrutinizing ...

Modern smartphones are packed with incredible technology, from high-resolution cameras and advanced graphics chips to AI processors. In premium models, this hardware includes LiDAR (light detection ...

China is using AI to help its radars better detect low-altitude drones, according to a top Chinese military scientist who said drone swarm tactics – as used in the US’ ongoing attack on Iran – were an ...

Occlusion, sudden illumination changes, and rapid motion in complex scenes severely degrade the robustness of existing object tracking methods. To address this issue, this paper proposes a novel ...

The following figure outlines the high level structure of the algorithm, which covers the tasks of multi-modal sensor fusion and object tracking. The algorithm is developed for the Indy Autonomous ...

Project is meant to provide a simple yet powerful baseline for multiple object tracking without the hassle of writing the obvious algorithm stack yourself. - tracking by detection paradigm - IOU + ...

Summary: A new attention model reveals how the human brain allocates limited perceptual resources to focus on goal-relevant information in dynamic environments. Researchers developed “adaptive ...

Emma, a college sophomore, stares at her screen. Her professor just assigned an essay on Kafka’s Metamorphosis and her fingers hover immediately over ChatGPT. ‘Why struggle,’ she thinks, ‘when AI can ...

Imagine sitting in a dark movie theater wondering just how much soda is left in your oversized cup. Rather than prying off the cap and looking, you pick up and shake the cup a bit to hear how much ice ...

Abstract: Aiming at the problem that the multi-object tracking algorithm is difficult to accurately design the object feature model and data association algorithm in the process of unmanned vehicle ...

Abstract: Tracking multiple tiny objects is highly challenging due to their weak appearance and limited features. Existing multi-object tracking algorithms generally focus on single-modality scenes, ...

In order to address the challenges of identifying, detecting, and tracking moving objects in video surveillance, this paper emphasizes image-based dynamic entity detection. It delves into the ...