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Tracking the Unseen: An Occlusion-Robust Framework for Target Tracking Under Full and Long-Term Occlusion

Real-time multi-object tracking systems remain highly vulnerable to full and long-term occlusion, where targets temporarily or completely disappear from the camera's field of view. Conventional trackers may terminate trajectories prematurely, resulting in identity loss and reduced situational awareness in applications such as defense and surveillance. This work proposes an occlusion-robust target…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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Optimize Local LLM Performance with Ollama

The landscape of local Large Language Models (LLMs) has undergone significant transformation, presenting compelling new opportunities for those interested in running advanced AI capabilities directly…

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