Person re-identification: A retrospective on domain specific open challenges and future trends
Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …
which aims to automatically recognize and locate individuals across a multi-camera network …
Ted-spad: Temporal distinctiveness for self-supervised privacy-preservation for video anomaly detection
Video anomaly detection (VAD) without human monitoring is a complex computer vision task
that can have a positive impact on society if implemented successfully. While recent …
that can have a positive impact on society if implemented successfully. While recent …
Person re-identification without identification via event anonymization
Wide-scale use of visual surveillance in public spaces puts individual privacy at stake while
increasing resource consumption (energy, bandwidth, and computation). Neuromorphic …
increasing resource consumption (energy, bandwidth, and computation). Neuromorphic …
[HTML][HTML] An Application-Driven Survey on Event-Based Neuromorphic Computer Vision
D Cazzato, F Bono - Information, 2024 - mdpi.com
Traditional frame-based cameras, despite their effectiveness and usage in computer vision,
exhibit limitations such as high latency, low dynamic range, high power consumption, and …
exhibit limitations such as high latency, low dynamic range, high power consumption, and …
Understanding human reactions looking at facial microexpressions with an event camera
With the establishment of Industry 4.0, machines are now required to interact with workers.
By observing biometrics they can assess if humans are authorized, or mentally and …
By observing biometrics they can assess if humans are authorized, or mentally and …
Real-time multi-task facial analytics with event cameras
Event cameras, unlike traditional frame-based cameras, excel in detecting and reporting
changes in light intensity on a per-pixel basis. This unique technology offers numerous …
changes in light intensity on a per-pixel basis. This unique technology offers numerous …
Traffic analysis through deep-learning-based image segmentation from UAV streaming
Alongside many traditional as well as novel applications, in the latest years, drones have
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …
Spireco: Fast and efficient recognition of high-speed moving objects with spike cameras
Benefited from the high temporal resolution and high dynamic range, spike cameras have
shown great potential in recognizing high-speed moving objects. However, the computer …
shown great potential in recognizing high-speed moving objects. However, the computer …
Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
Z Cui, J Zhou, X Wang, M Zhu… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Abstract Lifelong Person Re-identification (L-ReID) aims to learn from sequentially collected
data to match a person across different scenes. Once an L-ReID model is updated using …
data to match a person across different scenes. Once an L-ReID model is updated using …
EventTransAct: A video transformer-based framework for Event-camera based action recognition
Recognizing and comprehending human actions and gestures is a crucial perception
requirement for robots to interact with humans and carry out tasks in diverse domains …
requirement for robots to interact with humans and carry out tasks in diverse domains …