#surveillance-ai News & Analysis

2 articles tagged with #surveillance-ai. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBearisharXiv – CS AI · Apr 107/10

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Physical Adversarial Attacks on AI Surveillance Systems:Detection, Tracking, and Visible--Infrared Evasion

This research paper examines physical adversarial attacks on AI surveillance systems through a surveillance-oriented lens, emphasizing that robustness cannot be assessed from isolated image benchmarks alone. The study highlights critical gaps in current evaluation practices, including temporal persistence across frames, multi-modal sensing (visible and infrared), realistic attack carriers, and system-level objectives that must be tested under actual deployment constraints.

AINeutralarXiv – CS AI · Jun 236/10

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MIRCaps: A Large-Scale Mixed-Domain Dataset with Image-Level and Region-Level Captions for Fine-Grained Vision-Language Learning

Researchers introduce MIRCaps, a large-scale multimodal dataset containing 141,364 images with 981,947 image-level and 1,742,264 region-level captions designed to improve Vision-Language Models (VLMs) for general imagery and CCTV surveillance applications. The dataset demonstrates effective fine-tuning of lightweight VLMs across image captioning and object detection tasks, with code and data publicly available.