International Conference on Computer and Knowledge Engineering

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Towards Efficient Video Object Detection on Embedded Devices

Authors :

Mohammad Hajizadeh¹ Adel Rahmani² Mohammad Sabokrou³

1- School of Computer Engineering Iran University of Science and Technology 2- School of Computer Engineering Iran University of Science and Technology, Tehran, Iran 3- School of Computer Science IPM Institute for Research in Fundamental Sciences

Keywords :

Object Detection،Embedded Device،Deep Neural Networks

Abstract :

The challenge of adapting various object recognition techniques from still images to videos remains unsolved. When applied to videos, methods that are specifically designed for images do not perform well due to several complications. These include blurriness, shifting or ambiguous locations, subpar quality, and other similar concerns. In addition, a lack of effective long-term memory in video object detection has yet to be addressed. It is widely recognized that consecutive frames in a video tend to produce highly similar results in most cases. Therefore, this characteristic can be exploited to improve performance. Moreover, the information contained in a series of sequential or non-consecutive frames exceeds that of a single frame. In our research, we have introduced a novel recurrent cell for feature propagation and have determined the optimal layer placement to augment the memory span. This has resulted in superior precision compared to methods presented in previous research. Furthermore, hardware constraints may exacerbate this issue. Therefore, we have focused on implementing and improving the effectiveness of these techniques on embedded devices. Our approach has yielded impressive results, with a 67.5% mAP accuracy on the real-time ImageNet VID dataset for mobile devices at a rate of 62 fps.

Papers List

List of archived papers

Camouflage Object Segmentation with Attention-Guided Pix2Pix and Boundary Awareness

Erfan Akbarnezhad Sany - Fatemeh Naserizadeh - Parsa Sinichi - Seyyed Abed Hosseini

A Novel Method For Fake News Detection Based on Propagation Tree

Mansour Davoudi - Mohammad Reza Moosavi - Mohammad Hadi Sadreddini

Load Frequency Control of Geothermal Power Plant Incorporated Two-Area Hydro-Thermal System with AC-DC Lines

Shanker J Gambhire - Malligunta Kiran Kumar - Hossein Shahinzadeh - Mohammad-hossein Fayaz-dastgerdi - B. Srikanth Goud - Ch.Naga sai Kalyan

Paddy Plant Stress Identification Using Few-Shot Learning Framework

Ervin Gubin Moung - Pavindrah Naidu a/l Narayanasamy Naiidu - Maisarah Mohd Sufian - Valentino Liaw - Ali Farzamnia - Lorita Angeline

DFIG-WECS Renewable Integration to the Grid and Stability Improvement through Optimal Damping Controller Design

Theophilus Ebuka Odoh - Aliyu Sabo - Hossien Shahinzadeh - Noor Izzri Abdul Wahab - Farshad Ebrahimi

Improving Machine Learning Classification of Heart Disease Using the Graph-Based Techniques

Abolfazl Dibaji - Sadegh Sulaimany

Real-Time Forecasting Using Mixed Frequency Time-Series Data

Armin Khayati - Mohammad Taheri - Koorush Ziarati

Deep Inside Tor: Exploring Website Fingerprinting Attacks on Tor Traffic in Realistic Settings

Amirhossein Khajehpour - Farid Zandi - Navid Malekghaini - Mahdi Hemmatyar - Naeimeh Omidvar - Mahdi Jafari Siavoshani

Improve the utility of tensor cores by compacting sparse matrix technique

Mohammad.S Abazari - Mahsa Zahedi - Abdorreza Savadi

A Weighted TF-IDF-based Approach for Authorship Attribution

Ali Abedzadeh - Reza Ramezani - Afsaneh Fatemi

Samin Hamayesh - Version 41.7.6