@inproceedings{2a9a0b9b7f974b498f45d277d61643d6,
title = "ITASK - Intelligent traffic analysis software kit",
abstract = "Traffic flow analysis is essential for intelligent transportation systems. In this paper, we introduce our Intelligent Traffic Analysis Software Kit (iTASK) to tackle three challenging problems: vehicle flow counting, vehicle re-identification, and abnormal event detection. For the first problem, we propose to real-time track vehicles moving along the desired direction in corresponding motion-of-interests (MOIs). For the second problem, we consider each vehicle as a document with multiple semantic words (i.e., vehicle attributes) and transform the given problem to classical document retrieval. For the last problem, we propose to forward and backward refine anomaly detection using GAN-based future prediction and backward tracking completely stalled vehicle or sudden-change direction, respectively. Experiments on the datasets of traffic flow analysis from AI City Challenge 2020 show our competitive results, namely, S1 score of 0.8297 for vehicle flow counting in Track 1, mAP score of 0.3882 for vehicle re-identification in Track 2, and S4 score of 0.9059 for anomaly detection in Track 4. All data and source code are publicly available on our project page.",
author = "Tran, {Minh Triet} and Nguyen, {Tam V.} and Hoang, {Trung Hieu} and Le, {Trung Nghia} and Nguyen, {Khac Tuan} and Dinh, {Dat Thanh} and Nguyen, {Thanh An} and Nguyen, {Hai Dang} and Hoang, {Xuan Nhat} and Nguyen, {Trong Tung} and Vo-Ho, {Viet Khoa} and Do, {Trong Le} and Lam Nguyen and Le, {Minh Quan} and Nguyen-Dinh, {Hoang Phuc} and Pham, {Trong Thang} and Nguyen, {Xuan Vy} and Nguyen, {E. Ro} and Tran, {Quoc Cuong} and Hung Tran and Hieu Dao and Tran, {Mai Khiem} and Nguyen, {Quang Thuc} and Nguyen, {Tien Phat} and Vu-Le, {The Anh} and Diep, {Gia Han} and Do, {Minh N.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020 ; Conference date: 14-06-2020 Through 19-06-2020",
year = "2020",
month = jun,
doi = "10.1109/CVPRW50498.2020.00314",
language = "English (US)",
series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",
publisher = "IEEE Computer Society",
pages = "2607--2616",
booktitle = "Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020",
}