Deep CNNs have recently led to new standards in all fields of computer vision with specialized architectures for most challenges, including Video Object Segmentation and Pose Tracking. We extend Space-Time Memory Networks for the simultaneous detection of multiple object parts. This enables the detection of human body parts for multiple persons in videos. Results in terms of F1-score are satisfactory (a score of 47.6 with the best configuration evaluated on PoseTrack18 dataset) and encouraging for follow-up work.