# A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds

arXiv: https://arxiv.org/abs/1904.04363 · HTML: https://mlsanity.com/paper/1904.04363/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Apr 2019.

## Built on by (most cited first, 7 of 7)

- [Attention and Prediction Guided Motion Detection for Low-Contrast Small Moving Targets](https://mlsanity.com/paper/2104.13018/) (2021)
- [vSTMD: Visual Motion Detection for Extremely Tiny Target at Various Velocities](https://mlsanity.com/paper/2501.13054/) (2025)
- [Weakly-supervised Contrastive Learning with Quantity Prompts for Moving Infrared Small Target Detection](https://mlsanity.com/paper/2507.02454/) (2025)
- [A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds](https://mlsanity.com/paper/2103.00848/) (2021)
- [Spatio-Temporal Feedback Control of Small Target Motion Detection Visual System](https://mlsanity.com/paper/2211.10128/) (2022)
- [TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit](https://mlsanity.com/paper/2404.00855/) (2024)
- [MITE-Net: SWaP-Optimized 4K Video Tiny Target Perception for Embodied Edge SAR](https://mlsanity.com/paper/2608.15830/) (2026)

## Abstract (arXiv)

Monitoring small objects against cluttered moving backgrounds is a huge challenge to future robotic vision systems. As a source of inspiration, insects are quite apt at searching for mates and tracking prey -- which always appear as small dim speckles in the visual field. The exquisite sensitivity of insects for small target motion, as revealed recently, is coming from a class of specific neurons called small target motion detectors (STMDs). Although a few STMD-based models have been proposed, these existing models only use motion information for small target detection and cannot discriminate small targets from small-target-like background features (named as fake features). To address this problem, this paper proposes a novel visual system model (STMD+) for small target motion detection, which is composed of four subsystems -- ommatidia, motion pathway, contrast pathway and mushroom body. Compared to existing STMD-based models, the additional contrast pathway extracts directional contrast from luminance signals to eliminate false positive background motion. The directional contrast and the extracted motion information by the motion pathway are integrated in the mushroom body for small target discrimination. Extensive experiments showed the significant and consistent improvements of the proposed visual system model over existing STMD-based models against fake features.