最近看了点新鲜玩意儿,事件相机,看了这篇文章算是入个门,感觉可以做的东西有很多,研究研究。以后不定期更新一下精读的论文,感觉自己能给别人说清楚一篇论文可以加深自己的理解。 论文地址:Event-based Moving Object Detection and Tracking 背景 利用事件相机的高时间分辨率(我理解为在时间维度上不像传统的frame一样...
This paper proposes a solution for object detection and tracking using event-based cameras. This new technology presents many advantages to address traditional cameras limitations; the most evident are the high dynamic range and temporal resolution. However, due to the different nature of the provided...
Event cameras, offering extremely high temporal resolution and high dynamic range, have brought a new perspective to addressing common object detection challenges (e.g., motion blur and low light). However, how to learn a better spatio-temporal representation and exploit rich temporal cues from asy...
Event-Based Object Detection and Tracking - A Traffic Monitoring Use Case - Traffic monitoring is an important task in many scenarios, in urban roads to identify dangerous behavior and on-highway to check for vehicles moving in the wrong direction. This task is usually performed using conventional...
(e.g., texture, roughness, friction), which has been applied ina variety of tasks including object recognition [3], [4], [5],slip detection [6], and texture recognition [7].This study focuses on the challenging task of touch-based object recognition with event-driven tactile sensors [8...
3.1.1.3. Multiple Object Tracking 一些工作专门针对多目标跟踪,例如Gómez-Rodríguez et al. (2010)为此目的提出了级联架构。Linares-Barranco et al. (2015)提出了一种格结构FPGA框架,该框架允许去除不相关事件噪声以跟踪多个对象。该系统能够适应快速/慢速和大/小的物体。
The fbProtoDepth takes the entire human as single object due to the presence of additional orientation and colour opponency channels, whereas in case of evProtoDepth, the event cameras produce sparse and disjointed features leading to the detection of multiple smaller objects. This can be observed...
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision Event-based vision sensors encode local pixel-wise brightness changes in streams of events rather than image frames and yield sparse, energy-efficient enco... A Kugele,T Pfeil,M Pfeiffer,... - arXiv e...
Paper tables with annotated results for Embedded event based object detection with spiking neural network
The complexity of event-based object detection (OD) poses considerable challenges. Spiking Neural Networks (SNNs) show promising results and pave the way for efficient event-based OD. Despite this success, the path to efficient SNNs on embedded devices remains a challenge. This is due to the si...