A comparative study on SoC embedded low power GPUs for real‐time edge‐based automated traffic surveillance

Real-Time, Deep Learning Based Wrong Direction Detection

(2020) Saidasul Usmankhujaev et al.   Applied Sciences-Basel

YOLOpeds: efficient real-time single-shot pedestrian detection for smart camera applications

(2020) Christos Kyrkou   IET Computer Vision

Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

(2019) Johan Barthélemy et al.   SENSORS

Real-time implementation of moving object detection in UAV videos using GPUs

(2019) Deepak Jaiswal et al.   Journal of Real-Time Image Processing

Potential Enhancement for Wrong-way Driver Detection using Precise Attribute Information

(2019) Jinyue Wang et al.   JOURNAL OF NAVIGATION

Real-Time Big Data Stream Processing Using GPU with Spark Over Hadoop Ecosystem

(2017) M. Mazhar Rathore et al.   INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING

Real-time video processing for traffic control in smart city using Hadoop ecosystem with GPUs

(2017) M. Mazhar Rathore et al.   SOFT COMPUTING

Real-time hardware–software embedded vision system for ITS smart camera implemented in Zynq SoC

(2016) Tomasz Kryjak et al.   Journal of Real-Time Image Processing

Fast prototyping of a SoC-based smart-camera: a real-time fall detection case study

(2014) Benaoumeur Senouci et al.   Journal of Real-Time Image Processing

Real-time moving object detection algorithm on high-resolution videos using GPUs

(2013) Praveen Kumar et al.   Journal of Real-Time Image Processing