Spatio-temporal closed-loop object detection

L Galteri, L Seidenari, M Bertini… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Object detection is one of the most important tasks of computer vision. It is usually performed
by evaluating a subset of the possible locations of an image, that are more likely to contain …

Pack and detect: Fast object detection in videos using region-of-interest packing

AR Kumar, B Ravindran, A Raghunathan - Proceedings of the ACM …, 2019 - dl.acm.org
Object detection in videos is an important task in computer vision for various applications
such as object tracking, video summarization and video search. Although great progress has …

A comparative analysis of object detection metrics with a companion open-source toolkit

R Padilla, WL Passos, TLB Dias, SL Netto… - Electronics, 2021 - mdpi.com
Recent outstanding results of supervised object detection in competitions and challenges
are often associated with specific metrics and datasets. The evaluation of such methods …

Semi-supervised learning of feature hierarchies for object detection in a video

Y Yang, G Shu, M Shah - Proceedings of the IEEE Conference on …, 2013 - cv-foundation.org
We propose a novel approach to boost the performance of generic object detectors on
videos by learning videospecific features using a deep neural network. The insight behind …

Video object detection using object's motion context and spatio-temporal feature aggregation

J Kim, J Koh, B Lee, S Yang… - 2020 25th International …, 2021 - ieeexplore.ieee.org
The deep learning technique has recently led to significant improvement in object detection
accuracy. In many applications, object detection is performed on video data consisting of a …

Video object detection via object-level temporal aggregation

CH Yao, C Fang, X Shen, Y Wan, MH Yang - Computer Vision–ECCV …, 2020 - Springer
While single-image object detectors can be naively applied to videos in a frame-by-frame
fashion, the prediction is often temporally inconsistent. Moreover, the computation can be …

Catdet: Cascaded tracked detector for efficient object detection from video

H Mao, T Kong - Proceedings of Machine Learning and …, 2019 - proceedings.mlsys.org
Detecting objects in a video is a compute-intensive task. In this paper we propose CaTDet, a
system to speedup object detection by leveraging the temporal correlation in video. CaTDet …

Cascaded regional spatio-temporal feature-routing networks for video object detection

H Shuai, Q Liu, K Zhang, J Yang, J Deng - IEEE Access, 2017 - ieeexplore.ieee.org
This paper presents a cascaded regional spatiotemporal feature-routing networks for video
object detection. Region proposal networks in faster region-based convolutional neural …

Object detection in video with spatiotemporal sampling networks

G Bertasius, L Torresani, J Shi - Proceedings of the …, 2018 - openaccess.thecvf.com
Abstract We propose a Spatiotemporal Sampling Network (STSN) that uses deformable
convolutions across time for object detection in videos. Our STSN performs object detection …

MPNET: An end-to-end deep neural network for object detection in surveillance video

H Wang, P Wang, X Qian - IEEE Access, 2018 - ieeexplore.ieee.org
Object detection is one of the most important topics in computer vision task and has obtained
impressive performance thanks to the use of deep convolutional neural network. For object …