Smart City Gnosys

Smart city article details

Title	A Deep Neural Framework For Real-Time Vehicular Accident Detection Based On Motion Temporal Templates
ID_Doc	1380
Authors	Bakheet S.; Al-Hamadi A.
Year	2022
Published	Heliyon, 8, 11
DOI	http://dx.doi.org/10.1016/j.heliyon.2022.e11397
Abstract	Vehicular accident prediction and detection has recently garnered curiosity and large amounts of attention in machine learning applications and related areas, due to its peculiar and fascinating application potentials in the development of Intelligent Transportation Systems (ITS) that play a pivotal role in the success of emerging smart cities. In this paper, we present a new vision-based framework for real-time vehicular accident prediction and detection, based on motion temporal templates and fuzzy time-slicing. The presented framework proceeds in a stepwise fashion, starting with automatically detecting moving objects (i.e., on-road vehicles or roadside pedestrians), followed by dynamically keep tracking of the detected moving objects based on temporal templates, clustering and supervised learning. Then, an extensive set of local features is extracted from the temporal templates of moving objects. Finally, an effective deep neural network (DNN) model is trained on the extracted features to detect abnormal vehicle behavioral patterns and thus predict an accident just before it occurs. The experiments on real-world vehicular accident videos demonstrate that the framework can yield mostly promising results by achieving a hit rate of 98.5% with a false alarm rate of 4.2% that compare very favorably to those from existing approaches, while still being able to deliver delay guarantees for realtime traffic monitoring and surveillance applications. © 2022 The Author(s)
Author Keywords	Cubic-spline DNN; Fuzzy time slicing; Moment invariants; Temporal templates; Vehicular accident prediction

Similar Articles

Id	Similarity	Authors	Title	Published
31999	0.876	Xi Z.; Liu X.; Liu Y.; Cai Y.; Zheng Y.	Integrating Generative Adversarial Networks And Convolutional Neural Networks For Enhanced Traffic Accidents Detection And Analysis	IEEE Transactions on Intelligent Transportation Systems (2025)
26125	0.876	Perafan-Villota J.C.; Mondragon O.H.; Mayor-Toro W.M.	Fast And Precise: Parallel Processing Of Vehicle Traffic Videos Using Big Data Analytics	IEEE Transactions on Intelligent Transportation Systems, 23, 8 (2022)
12041	0.871	Adewopo V.; Elsayed N.; Elsayed Z.; Ozer M.; Zekios C.L.; Abdelgawad A.; Bayoumi M.	Big Data And Deep Learning In Smart Cities: A Comprehensive Dataset For Ai-Driven Traffic Accident Detection And Computer Vision Systems	2024 IEEE 3rd International Conference on Computing and Machine Intelligence, ICMI 2024 - Proceedings (2024)
12042	0.871	Adewopo V.; Elsayed N.; Elsayed Z.; Ozer M.; Zekios C.L.; Abdelgawad A.; Bayoumi M.	Big Data And Deep Learning In Smart Cities: A Comprehensive Dataset For Ai-Driven Traffic Accident Detection And Computer Vision Systems	Conference Proceedings - IEEE SOUTHEASTCON (2024)
44287	0.867	Nadella P.; Bindu B.; Sri Sindhu P.S.; Sri Krishna Kireeti G.; Bindu Valiveti H.; Krishna Reddy C.V.	Real-Time Accident Detection And Reporting System Using Edge Computing And Convolutional Neural Networks With Integration Of Gps For Public Safety	Lecture Notes in Electrical Engineering, 1157 (2024)
50572	0.867	Adewopo V.A.; Elsayed N.	Smart City Transportation: Deep Learning Ensemble Approach For Traffic Accident Detection	IEEE Access, 12 (2024)
7097	0.867	Al-Agroudy Z.; Mohamed A.; Ashraf Z.; Al-Sayed S.; Gad W.; Hassan Z.; Reda R.	Ai-Safe Transportation: Real-Time Incident Detection And Alerting System In Smart Cities	Proceedings - 11th IEEE International Conference on Intelligent Computing and Information Systems, ICICIS 2023 (2023)
44461	0.866	Abraham A.; Math C.B.; Prasad S.; Sharma M.	Real-Time Traffic Accident Detection For An Intelligent Mobility In Smart Cities	Signals and Communication Technology, Part F1293 (2024)
26856	0.859	Angadi V.S.; Halyal S.	Forecasting Road Accidents Using Deep Learning Approach: Policies To Improve Road Safety	Journal of Soft Computing in Civil Engineering, 8, 4 (2024)
44480	0.857	Srikanth M.; Krishna N.S.V.S.S.J.; Krishna S.J.S.; Irfan S.; Venkat T.G.	Real-Time Vehicle Detection And Road Condition Prediction For Smart Urban Areas	Proceedings of the 4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024 (2024)