MG-GCT: A Motion-Guided Graph Convolutional Transformer for Traffic Gesture Recognition

计算机科学 人工智能 变压器 计算机视觉 手势 图形 语音识别 模式识别(心理学) 工程类 理论计算机科学 电气工程 电压
作者
Xiaofeng Guo,Qing Zhu,Yaonan Wang,Yang Mo
出处
期刊:IEEE Transactions on Intelligent Transportation Systems [Institute of Electrical and Electronics Engineers]
卷期号:: 1-9
标识
DOI:10.1109/tits.2024.3394911
摘要

For autonomous driving systems, it is crucial to recognize the actions and gestures of traffic conductors and cyclists on the road to ensure safety. However, traffic gesture recognition is more challenging than action recognition in general scenarios due to the differences in action posture and sample composition between traffic gesture datasets and general action datasets. Therefore, general action recognition methods cannot identify traffic gestures well. To overcome these problems, we propose a novel motion-guided graph convolutional transformer (MG-GCT) for traffic gesture recognition. Firstly, we proposed a two-stream network to fully utilize joint data and motion data for action recognition. Secondly, we designed and implemented a motion-guided module between two streams, which leverages the powerful spatial representation ability of the motion data to guide the learning of the joint data stream in the spatial dimension. Thirdly, we implemented a temporal transformer network to process the temporal features of the skeleton. Finally, we conducted extensive experiments on two public datasets and one dataset presented by us to demonstrate the effectiveness of our network in traffic gesture recognition, which has a significant advantage over the state-of-the-art methods.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
kkk发布了新的文献求助10
1秒前
英姑应助老迟到的沛萍采纳,获得10
1秒前
aaaaaa完成签到,获得积分10
1秒前
Janson完成签到,获得积分10
2秒前
ding应助英勇的人生采纳,获得10
3秒前
Orange应助哈哈采纳,获得10
4秒前
Nathan完成签到,获得积分10
4秒前
小菜完成签到,获得积分20
4秒前
Carrot发布了新的文献求助10
5秒前
5秒前
温冰雪完成签到,获得积分10
7秒前
nanfeng完成签到,获得积分10
9秒前
9秒前
waayu完成签到 ,获得积分10
10秒前
迷人芙蓉发布了新的文献求助10
11秒前
量子星尘发布了新的文献求助10
11秒前
搜集达人应助kassidy采纳,获得10
12秒前
12秒前
罗那完成签到,获得积分10
12秒前
13秒前
vv关闭了vv文献求助
14秒前
科研通AI2S应助研友_RLNXOZ采纳,获得10
14秒前
852应助Whale采纳,获得10
14秒前
15秒前
王者归来发布了新的文献求助30
15秒前
16秒前
猪猪hero应助鲤鱼安青采纳,获得10
16秒前
失眠水风完成签到,获得积分10
16秒前
16秒前
Rondab应助shinn采纳,获得10
17秒前
westbobo发布了新的文献求助10
17秒前
18秒前
19秒前
20秒前
啊啊啊发布了新的文献求助10
22秒前
科目三应助westbobo采纳,获得10
22秒前
22秒前
23秒前
23秒前
23秒前
高分求助中
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Effective Learning and Mental Wellbeing 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3975339
求助须知:如何正确求助?哪些是违规求助? 3519670
关于积分的说明 11199199
捐赠科研通 3256002
什么是DOI,文献DOI怎么找? 1798043
邀请新用户注册赠送积分活动 877386
科研通“疑难数据库(出版商)”最低求助积分说明 806305