Search Results for author:
Found 6 papers, 1 papers with code
Application-Driven AI Paradigm for Person Counting in Various Scenarios
Person counting is considered as a fundamental task in video surveillance.
TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance
After integration and annotation by various dimensions, a large-scale traffic accidents dataset named TAD is proposed in this work.
Small Obstacle Avoidance Based on RGB-D Semantic Segmentation
This paper presents a novel obstacle avoidance system for road robots equipped with RGB-D sensor that captures scenes of its way forward.
Falls Prediction Based on Body Keypoints and Seq2Seq Architecture
This paper presents a novel approach for predicting the falls of people in advance from monocular video.
Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System
This paper presents a novel system that enables intelligent robots to exhibit realistic body gestures while communicating with humans.
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
This paper presents an improved scheme for the generation and adaption of synthetic images for the training of deep Convolutional Neural Networks(CNNs) to perform the object detection task in smart vending machines.
