# Video Surveillance and Tracking Methods

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/video-surveillance-and-tracking-methods/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on visual object tracking and person re-identification, covering topics such as background subtraction, convolutional neural networks, real-time tracking, deep learning, foreground segmentation, multiple object tracking, and motion detection. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t10331 |
| Works | 203 |

## Topic papers all

Showing 15 of 203.

- [Large-Scale Video Classification with Convolutional Neural Networks](https://scholariq.org/papers/large-scale-video-classification-with-convolutional-neural-networks/)
- [Social LSTM: Human Trajectory Prediction in Crowded Spaces](https://scholariq.org/papers/social-lstm-human-trajectory-prediction-in-crowded-spaces/)
- [SegFormer: Simple and Efficient Design for Semantic Segmentation with\n Transformers](https://scholariq.org/papers/segformer-simple-and-efficient-design-for-semantic-segmentation-with-n/)
- [Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis](https://scholariq.org/papers/learning-hierarchical-invariant-spatio-temporal-features-for-action-recognition/)
- [CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope](https://scholariq.org/papers/cnn-variants-for-computer-vision-history-architecture-application-challenges-and/)
- [SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers](https://scholariq.org/papers/segformer-simple-and-efficient-design-for-semantic-segmentation-with/)
- [The Visual Object Tracking VOT2016 Challenge Results](https://scholariq.org/papers/the-visual-object-tracking-vot2016-challenge-results/)
- [Deep Metric Learning: A Survey](https://scholariq.org/papers/deep-metric-learning-a-survey/)
- [RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment](https://scholariq.org/papers/rgb-infrared-cross-modality-person-re-identification-via-joint-pixel-and-feature/)
- [Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States](https://scholariq.org/papers/using-deep-learning-and-google-street-view-to-estimate-the-demographic-makeup-of/)
- [The Seventh Visual Object Tracking VOT2019 Challenge Results](https://scholariq.org/papers/the-seventh-visual-object-tracking-vot2019-challenge-results/)
- [The Visual Object Tracking VOT2017 Challenge Results](https://scholariq.org/papers/the-visual-object-tracking-vot2017-challenge-results/)
- [Classification of Hyperspectral and LiDAR Data Using Coupled CNNs](https://scholariq.org/papers/classification-of-hyperspectral-and-lidar-data-using-coupled-cnns/)
- [Computer Vision Techniques in Construction: A Critical Review](https://scholariq.org/papers/computer-vision-techniques-in-construction-a-critical-review/)
- [Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy](https://scholariq.org/papers/neural-network-analysis-of-sleep-stages-enables-efficient-diagnosis-of/)

## Topic primary papers

Showing 15 of 73.

- [Social LSTM: Human Trajectory Prediction in Crowded Spaces](https://scholariq.org/papers/social-lstm-human-trajectory-prediction-in-crowded-spaces/)
- [The Visual Object Tracking VOT2016 Challenge Results](https://scholariq.org/papers/the-visual-object-tracking-vot2016-challenge-results/)
- [Deep Metric Learning: A Survey](https://scholariq.org/papers/deep-metric-learning-a-survey/)
- [RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment](https://scholariq.org/papers/rgb-infrared-cross-modality-person-re-identification-via-joint-pixel-and-feature/)
- [Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States](https://scholariq.org/papers/using-deep-learning-and-google-street-view-to-estimate-the-demographic-makeup-of/)
- [The Seventh Visual Object Tracking VOT2019 Challenge Results](https://scholariq.org/papers/the-seventh-visual-object-tracking-vot2019-challenge-results/)
- [The Visual Object Tracking VOT2017 Challenge Results](https://scholariq.org/papers/the-visual-object-tracking-vot2017-challenge-results/)
- [Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification](https://scholariq.org/papers/fully-adaptive-feature-sharing-in-multi-task-networks-with-applications-in/)
- [Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification](https://scholariq.org/papers/cross-modality-paired-images-generation-for-rgb-infrared-person-re/)
- [Automatic Shadow Detection and Removal from a Single Image](https://scholariq.org/papers/automatic-shadow-detection-and-removal-from-a-single-image/)
- [Fully Convolutional Region Proposal Networks for Multispectral Person Detection](https://scholariq.org/papers/fully-convolutional-region-proposal-networks-for-multispectral-person-detection/)
- [Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification](https://scholariq.org/papers/where-and-when-to-look-deep-siamese-attention-networks-for-video-based-person-re/)
- [Learning Spatial-Aware Regressions for Visual Tracking](https://scholariq.org/papers/learning-spatial-aware-regressions-for-visual-tracking/)
- [Background subtraction based on cooccurrence of image variations](https://scholariq.org/papers/background-subtraction-based-on-cooccurrence-of-image-variations/)
- [Exploit the Connectivity](https://scholariq.org/papers/exploit-the-connectivity/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.